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Recommendations for a positive energy district framework – Application and evaluation of different energetic assessment methodologies 关于积极能源地区框架的建议 - 不同能源评估方法的应用和评估

IF 5.4

Smart Energy Pub Date : 2024-06-17 DOI: 10.1016/j.segy.2024.100147

Marie Gondeck , Marc-André Triebel , Annette Steingrube , Vicky Albert-Seifried , Gerhard Stryi-Hipp

{"title":"Recommendations for a positive energy district framework – Application and evaluation of different energetic assessment methodologies","authors":"Marie Gondeck , Marc-André Triebel , Annette Steingrube , Vicky Albert-Seifried , Gerhard Stryi-Hipp","doi":"10.1016/j.segy.2024.100147","DOIUrl":"https://doi.org/10.1016/j.segy.2024.100147","url":null,"abstract":"<div><p>Positive Energy Districts are seen as a stepstone towards climate-neutrality for European cities. The concept aims to make districts an active contributor to urban energy systems. However, the definition of PEDs is relatively loose and there is currently a lack of a common European assessment methodology, which makes it difficult to evaluate PED in practice. This research evaluates the energetic assessment methodologies developed in three PED-relevant projects in Europe – namely MAKING CITY, Zukunftsquartier Wien, and Zero Emission Neighbourhood – in order to derive recommendations for a common PED assessment framework. For this purpose, the three methodologies have been applied to case study districts in Germany. Subsequently, the application of the methodologies has been analysed based on their general practicality as well as their fulfilment of the PED objectives. The findings suggest that a positive energy balance might not be considered as a prerequisite of PEDs as this strict requirement sets a high entry barrier for districts that lack the intrinsic factors for surplus renewable energy production. For PED as an inclusive framework, the focus should be on delivering positive impacts for the districts and the wider energy systems; whilst the positive energy balance can be seen as a complementary rather than a mandatory condition.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"15 ","pages":"Article 100147"},"PeriodicalIF":5.4,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666955224000170/pdfft?md5=8117d65f595442b3edfc4c3294f4cb2f&pid=1-s2.0-S2666955224000170-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141480541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

What drives energy storage deployment in local energy transitions? Stakeholders’ perspective 是什么推动了地方能源转型中的储能部署？利益相关者的观点。

Smart Energy Pub Date : 2024-06-13 DOI: 10.1016/j.segy.2024.100146

Kristiana Dolge, Armands Gravelsins, Laura Kristiana Vicmane, Andra Blumberga, Dagnija Blumberga

{"title":"What drives energy storage deployment in local energy transitions? Stakeholders’ perspective","authors":"Kristiana Dolge, Armands Gravelsins, Laura Kristiana Vicmane, Andra Blumberga, Dagnija Blumberga","doi":"10.1016/j.segy.2024.100146","DOIUrl":"10.1016/j.segy.2024.100146","url":null,"abstract":"<div><p>The global shift towards decentralised energy systems has assigned municipalities a key role in achieving national climate neutrality objectives. As the main stakeholders in the local energy transition, municipalities are responsible for the decarbonization of the local energy system through the extensive integration of renewable energy sources into existing systems. However, this integration requires new approaches and system adjustments, such as energy storage deployment, to satisfy the variable nature of renewable energy sources. The integration of novel solutions, such as energy storage, is difficult because of the diverse range of stakeholders involved, each with their own perceptions and expertise. This study uses the Fuzzy Cognitive Mapping (FCM) methodology to analyse the mental models of different stakeholders regarding their perceived importance of different factors influencing the implementation of energy storage in municipalities. The approach of this study enables a better understanding of municipal energy systems and its dynamics. The results reveal that support schemes such as subsidies and awareness campaigns are key to all stakeholders. Municipalities tend to focus on local needs and technological solutions, while energy experts prioritize technical aspects and national policies. Municipalities address challenges linearly, missing interconnections, whereas energy experts consider feedback loops and system requirements. The study highlights the need for common ground to drive effective policy and infrastructure development. The results could be used to facilitate discussions with policy makers on why energy storage is important and what policy measures should be considered to accelerate its deployment.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"15 ","pages":"Article 100146"},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666955224000169/pdfft?md5=3a8ebd31c49d56620f9454871ac9847a&pid=1-s2.0-S2666955224000169-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141408971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data analysis and estimation of the conversion efficiency of bidirectional EV chargers using home energy management systems data 利用家庭能源管理系统数据分析和估算双向电动汽车充电器的转换效率

Smart Energy Pub Date : 2024-06-11 DOI: 10.1016/j.segy.2024.100145

Yumiko Iwafune, Toshiaki Kawai

{"title":"Data analysis and estimation of the conversion efficiency of bidirectional EV chargers using home energy management systems data","authors":"Yumiko Iwafune, Toshiaki Kawai","doi":"10.1016/j.segy.2024.100145","DOIUrl":"https://doi.org/10.1016/j.segy.2024.100145","url":null,"abstract":"<div><p>This study elucidates the authentic utilization of Vehicle-to-Home (V2H) system, a bi-directional DC charger for residential use and appraises power conversion losses incurred during V2H charging and discharging, utilizing data from commercial Home Energy Management Systems (HEMS). This approach offers the advantage of ascertaining operational efficiency within practical scenarios at a reduced cost relative to empirical data acquisition.</p><p>The empirical examination of results revealed that V2H households exhibited more frequent connections to the charger and engaged in more substantial charging activities compared to Charging-only households.</p><p>When estimating the power conversion efficiency in the context of V2H charging and discharging, a partial load efficiency curve was constructed for the input power of the V2H charger, thereby confirming that the peak efficiency closely approximated the nominal rated efficiency. These identified characteristics hold value for V2H system simulations. Furthermore, it was confirmed that a substantial standby power, ranging from 92 to 142 kWh per year, was generated when the V2H charger remained inactive in the sampled households. Additionally, the lack of reverse power flow to the external grid from the V2H system led to an observed increase in V2H partial load operation, resulting in a situation characterized by diminished conversion efficiency.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"15 ","pages":"Article 100145"},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666955224000157/pdfft?md5=82390c0545c91423a33d9116d8757b7c&pid=1-s2.0-S2666955224000157-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141325959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Combining techno-economic modeling and spatial analysis for heat planning in rural regions: A case study of the Holbæk municipality in Denmark 将技术经济建模和空间分析相结合，促进农村地区的供热规划：丹麦霍尔拜克市案例研究

Smart Energy Pub Date : 2024-05-01 DOI: 10.1016/j.segy.2024.100144

Hyunkyo Yu , Claire Bergaentzlé , Stefan Petrović , Erik O. Ahlgren , Filip Johnsson

{"title":"Combining techno-economic modeling and spatial analysis for heat planning in rural regions: A case study of the Holbæk municipality in Denmark","authors":"Hyunkyo Yu , Claire Bergaentzlé , Stefan Petrović , Erik O. Ahlgren , Filip Johnsson","doi":"10.1016/j.segy.2024.100144","DOIUrl":"10.1016/j.segy.2024.100144","url":null,"abstract":"<div><p>This study examines the opportunities and challenges related to heat decarbonization in rural municipalities by applying a spatial analysis in combination with techno-economic modeling using TIMES. While the transition to low-carbon heating technologies is progressing in urban areas, this shift is happening more slowly in rural areas, reflecting a difference in decarbonization rate between urban and rural contexts. This study takes the Holbæk Municipality in Denmark as a case to investigate the potential for rural heating systems considering local fuels, excess heat, and investments in different energy infrastructures. The technology options investigated include both individual heating technologies, such as domestic boilers and heat pumps, and district heating. The modeling results demonstrate that use of excess heat from the municipal wastewater treatment plant and the neighboring industrial site for district heating competes with individual heating systems that have heat pumps and biogas-fueled boilers, where the mix depends on the conditions assumed for each technology and the heat demand density. The extent of district heating expansion differs between districts in the municipality, ranging from 14% to 100% depending on the heat demand density and proximity to the current district heating network. The different possibilities for the transition of the heating sector revealed in this work indicate that a successful transition will require both a clear policy for the heating sector and an explicit decarbonization strategy for the industries that can provide excess heat for district heating.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"14 ","pages":"Article 100144"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666955224000145/pdfft?md5=8ad7fb235462313e34bd7cb210fd206f&pid=1-s2.0-S2666955224000145-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141054313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Coordinating multiple Power-To-Gas plants for optimal management of e-fuel seasonal storage 协调多个 "电转气 "工厂，优化电子燃料季节性储存管理

Smart Energy Pub Date : 2024-05-01 DOI: 10.1016/j.segy.2024.100143

Emanuela Marzi , Mirko Morini , Costanza Saletti , Agostino Gambarotta

{"title":"Coordinating multiple Power-To-Gas plants for optimal management of e-fuel seasonal storage","authors":"Emanuela Marzi , Mirko Morini , Costanza Saletti , Agostino Gambarotta","doi":"10.1016/j.segy.2024.100143","DOIUrl":"10.1016/j.segy.2024.100143","url":null,"abstract":"<div><p>Seasonal storage is a key feature of future decarbonized energy systems with a high share of renewable energy integration. Power-to-Gas technologies represent a promising solution to enable such storage. They allow the conversion of surplus renewable electricity into e-fuels and their storage in the long-term. Their utilization enables the integration of the electrical, fuel and heating sectors, by converting electricity into fuels and recovering the waste heat from the process. Nevertheless, to design the most profitable management strategy for such systems, advanced control tools are required. This study introduces a novel control architecture for multiple multi-energy systems that share an e-fuel seasonal storage. Each energy system has its own short-term control logic, based on Model-Predictive Control (MPC), which manages day-ahead energy exchanges, while a long-term MPC controller considers yearly dynamics and the system as a whole. This gives additional constraints to the short-term controllers, which ensure the fulfillment of yearly goals. A multi-temporal and multi-spatial hierarchical control architecture is proposed, which enables optimal seasonal storage management, and its operation is verified in a Model-in-the-Loop configuration. The controller efficiently uses seasonal storage to balance seasonal mismatch between production and demand, resulting in higher utilization of renewable energy, lower emissions and costs.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"14 ","pages":"Article 100143"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666955224000133/pdfft?md5=2d5a060c3b660f470bd07994c5e40fb6&pid=1-s2.0-S2666955224000133-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140793389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Developing energy system scenarios for municipalities - Introducing MUSEPLAN 为市政当局制定能源系统方案 - 引入 MUSEPLAN

Smart Energy Pub Date : 2024-05-01 DOI: 10.1016/j.segy.2024.100141

Rasmus Magni Johannsen , Peter Sorknæs , Poul Alberg Østergaard , Diana Moreno , Steffen Nielsen , Sara Abd Alla , Giorgio Bonvicini

{"title":"Developing energy system scenarios for municipalities - Introducing MUSEPLAN","authors":"Rasmus Magni Johannsen , Peter Sorknæs , Poul Alberg Østergaard , Diana Moreno , Steffen Nielsen , Sara Abd Alla , Giorgio Bonvicini","doi":"10.1016/j.segy.2024.100141","DOIUrl":"10.1016/j.segy.2024.100141","url":null,"abstract":"<div><p>The value of energy system scenarios is increasingly asserted in a decentralised and municipal context. There is, however, a lack of suitable tools for designing such scenarios, particularly tools that empower local planning practitioners in active participation. With this study, we introduce a novel tool designed specifically for municipal energy system modelling, thus bridging the gap between model developers and planning practitioners. The applicability and suitability of the new MUSEPLAN tool is investigated through its application in a case municipality, revolving around the needs of planning practitioners, supporting the build-up of modelling capacity, and focusing on the practical development of energy system scenarios. MUSEPLAN draws on the specialist simulation model EnergyPLAN but provides an environment for integrated design and comparison of multiple scenarios while reducing the complexity through discarding some of the more advanced options. In conclusion, MUSEPLAN resolves the identified challenges to the integration of energy system modelling in municipal energy planning, while simplifying the modelling and scenario evaluation process.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"14 ","pages":"Article 100141"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266695522400011X/pdfft?md5=35ef3471698eac85903c24feb542a88b&pid=1-s2.0-S266695522400011X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140764660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Water resiliency score – Is relying on freshwater to generate electricity a good idea? 水资源恢复能力得分 - 依靠淡水发电是个好主意吗？

Smart Energy Pub Date : 2024-04-18 DOI: 10.1016/j.segy.2024.100142

Javier Farfan , Alena Lohrmann , Henrik Saxén

{"title":"Water resiliency score – Is relying on freshwater to generate electricity a good idea?","authors":"Javier Farfan , Alena Lohrmann , Henrik Saxén","doi":"10.1016/j.segy.2024.100142","DOIUrl":"https://doi.org/10.1016/j.segy.2024.100142","url":null,"abstract":"<div><p>One commonly-used argument against fluctuating renewables is their unpredictability. In contrast, thermal power generation and hydropower are regularly presented as reliable and dispatchable. However, droughts and floods can render useless the share of the power generation infrastructure that directly depends on freshwater. In this work, the global power sector is analysed from an energy-water nexus perspective to evaluate its reliability in case of severe water scarcity on a per-power plant basis, proposing a new method for combining it with water stress scores. At a country level, known individual thermal and hydropower plants are paired with regional water stress projections from 2020 to 2030 and their water source as a bottom-up approach to account for the capacities at risk and identify the points where water dependence could render a power system unreliable. The results show that, globally, about 65 % of generating capacities are directly freshwater-dependent. Moreover, the share of capacities placed in the low-resiliency group increases from 9 % of the total installed in 2020 to over 24 % in 2030 in all scenarios. The findings could help guide the development of the global power sector towards a less water-dependent system and accelerate the deployment of low water-demand power generation technologies.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"14 ","pages":"Article 100142"},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666955224000121/pdfft?md5=5469c75a318fe0808561af9c6537e615&pid=1-s2.0-S2666955224000121-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140641018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Can behavioral interventions optimize self-consumption? Evidence from a field experiment with prosumers in Germany 行为干预能否优化自我消费？来自德国消费者实地实验的证据

Smart Energy Pub Date : 2024-03-29 DOI: 10.1016/j.segy.2024.100140

Sabine Pelka , Anne Kesselring , Sabine Preuß , Emile Chappin , Laurens de Vries

{"title":"Can behavioral interventions optimize self-consumption? Evidence from a field experiment with prosumers in Germany","authors":"Sabine Pelka , Anne Kesselring , Sabine Preuß , Emile Chappin , Laurens de Vries","doi":"10.1016/j.segy.2024.100140","DOIUrl":"https://doi.org/10.1016/j.segy.2024.100140","url":null,"abstract":"<div><p>Aligning prosumers' electricity consumption to the availability of self-generated electricity decreases CO<sub>2</sub> emissions and costs. Nudges are proposed as one behavioral intervention to orchestrate such changes. At the same time, fragmented findings in the literature make it challenging to identify suitable behavioral interventions for specific households and contexts - specifically for optimizing self-consumption. We test three sequentially applied interventions (feedback, benchmark, and default) delivered by digital tools in a field experiment with 111 German households with rooftop-photovoltaics. The experiment design with a control-group, baseline measurements, and high-frequency smart-meter-data allows us to examine the causal effects of each intervention for increasing self-consumption. While feedback and benchmark deliver small self-consumption increases (3–4 percent), the smart changing default leads to a 16 percent increase for active participants. In general, households with controllable electric vehicles show stronger effects than those without. For upscaling behavioral interventions for other prosumers, we recommend interventions that require little interaction and energy literacy because even the self-selected, motivated sample rarely interacted with the digital tools.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"14 ","pages":"Article 100140"},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666955224000108/pdfft?md5=af13be00b44e1736b90cb302361f5fdd&pid=1-s2.0-S2666955224000108-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140342275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep reinforcement learning based dynamic pricing for demand response considering market and supply constraints 基于深度强化学习的需求响应动态定价，考虑市场和供应限制因素

Smart Energy Pub Date : 2024-03-27 DOI: 10.1016/j.segy.2024.100139

Alejandro Fraija , Nilson Henao , Kodjo Agbossou , Sousso Kelouwani , Michaël Fournier , Shaival Hemant Nagarsheth

{"title":"Deep reinforcement learning based dynamic pricing for demand response considering market and supply constraints","authors":"Alejandro Fraija , Nilson Henao , Kodjo Agbossou , Sousso Kelouwani , Michaël Fournier , Shaival Hemant Nagarsheth","doi":"10.1016/j.segy.2024.100139","DOIUrl":"https://doi.org/10.1016/j.segy.2024.100139","url":null,"abstract":"<div><p>This paper presents a Reinforcement Learning (RL) approach to a price-based Demand Response (DR) program. The proposed framework manages a dynamic pricing scheme considering constraints from the supply and market side. Under these constraints, a DR Aggregator (DRA) is designed that takes advantage of a price generator function to establish a desirable power capacity through a coordination loop. Subsequently, a multi-agent system is suggested to exploit the flexibility potential of the residential sector to modify consumption patterns utilizing the relevant price policy. Specifically, electrical space heaters as flexible loads are employed to cope with the created policy by reducing energy costs while maintaining customers' comfort preferences. In addition, the developed mechanism is capable of dealing with deviations from the optimal consumption plan determined by residential agents at the beginning of the day. The DRA applies an RL method to handle such occurrences while maximizing its profits by adjusting the parameters of the price generator function at each iteration. A comparative study is also carried out for the proposed price-based DR and the RL-based DRA. The results demonstrate the efficiency of the suggested DR program to offer a power capacity that can maximize the profit of the aggregator and meet the needs of residential agents while preserving the constraints of the system.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"14 ","pages":"Article 100139"},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666955224000091/pdfft?md5=1d534f2342596c403bc6386d5fedd0aa&pid=1-s2.0-S2666955224000091-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140328592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning-based energy monitoring method applied to the HVAC systems electricity demand of an Italian healthcare facility 将基于机器学习的能源监测方法应用于意大利一家医疗机构的暖通空调系统用电需求

Smart Energy Pub Date : 2024-03-21 DOI: 10.1016/j.segy.2024.100137

Marco Zini, Carlo Carcasci

{"title":"Machine learning-based energy monitoring method applied to the HVAC systems electricity demand of an Italian healthcare facility","authors":"Marco Zini, Carlo Carcasci","doi":"10.1016/j.segy.2024.100137","DOIUrl":"https://doi.org/10.1016/j.segy.2024.100137","url":null,"abstract":"<div><p>The buildings energy consumption is a great part of Europe's overall energy demand. The development of diagnostic methods capable of promptly alerting users in case of issues (e.g. mild and progressive decrease in systems components performance) is crucial for the smart management of buildings. Machine learning-based building energy monitoring is a reliable approach for identifying subtle anomalies in the building energy demand behaviour. This study presents the application of a systematic procedure to develop a reliable monitoring method based on machine learning predictive models, ensuring minimal user knowledge requirements. The proposed method applied to the electricity demand of various components of the heating, ventilation and air conditioning system of a real Italian healthcare facility. The obtained models are exploited to apply the building energy monitoring method, assessing its capability to highlight mild changes in building energy demand behaviour. Considering that its application on specific system components implies an increased technical and economic effort to carry out data collection, the present work is aimed at assessing the benefits of such applications. Because of its high reproducibility and relatively simple integration into centralized building energy management systems, the proposed method offers a practical solution to enhance the smart management of building energy systems.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"14 ","pages":"Article 100137"},"PeriodicalIF":0.0,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666955224000078/pdfft?md5=336dcc41f4fd95bc4b8d96d4d0ae999a&pid=1-s2.0-S2666955224000078-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140208969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0