Energy EfficiencyPub Date : 2024-07-19DOI: 10.1007/s12053-024-10242-9
Marco Sorrentino, Nicola Franzese, Alena Trifirò
{"title":"Development and experimental assessment of a multi-annual energy monitoring tool to support energy intelligence and management in telecommunication industry","authors":"Marco Sorrentino, Nicola Franzese, Alena Trifirò","doi":"10.1007/s12053-024-10242-9","DOIUrl":"10.1007/s12053-024-10242-9","url":null,"abstract":"<div><p>Carbon-footprint reduction of key industrial buildings is addressed, by proposing methodologies for continuously monitoring telecommunication (TLC) central offices (COs). Main aim is classifying sites according to their efficiency and reliability, via the diagnosis of anomalous electricity consumptions. Such a goal is achieved through the definition of new key performance indicators (KPIs) based on TLC and cooling energy demand, improving the outcomes of pre-existing methods. While the reliability index and index of cluster reliability are specifically proposed to evaluate and physically assess the impact of climate control (CLC, i.e., the parasitic quota) electricity consumption with respect to the TLC one, the here introduced coefficient of variation of telecommunication energy allows for a more solid evaluation of energy measurements reliability. Another target of this study is to extend the afore-mentioned KPIs-based analysis to multi-annual periods of monitoring, thus allowing successfully meeting the currently in-force ISO 50001 standard. Specific central offices were then selected and analyzed to verify the results physical meaning. The method was proven effective in classifying central offices belonging to climate-homogenous fleets, according to the reliability level estimated over a triannual timeframe. Positive impacts in terms of attainable energy saving through improved thermal management, as well as methodology extendibility to other industrial sectors are finally presented and discussed.</p></div>","PeriodicalId":537,"journal":{"name":"Energy Efficiency","volume":"17 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12053-024-10242-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141746149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy EfficiencyPub Date : 2024-07-17DOI: 10.1007/s12053-024-10244-7
Alex C. Newkirk, Nichole Hanus, Christopher T. Payne
{"title":"Expert and operator perspectives on barriers to energy efficiency in data centers","authors":"Alex C. Newkirk, Nichole Hanus, Christopher T. Payne","doi":"10.1007/s12053-024-10244-7","DOIUrl":"10.1007/s12053-024-10244-7","url":null,"abstract":"<div><p>It was last estimated in 2016 that data centers (DCs) comprise approximately 2% of total US electricity consumption. However, this estimate is currently being updated to account for the massive increase in computing needs due to streaming, cryptocurrency, and artificial intelligence (AI). To prevent energy consumption that tracks with increasing computing needs, it is imperative we identify energy efficiency strategies and investments beyond the low-hanging fruit solutions. In a two-phased research approach, we ask: What non-technical barriers still impede energy efficiency (EE) practices and investments in the data center sector, and what can be done to overcome these barriers? In particular, we are focused on social and organizational barriers to EE. In Phase I, we performed a literature review and found that technical solutions are abundant in the literature, but fail to address the top-down cultural shifts that need to take place in order to adapt new energy efficiency strategies. In Phase II, reported here, we interviewed 16 data center operators/experts to ground-truth our literature findings. Our interview protocols focus on three aspects of DC decision-making: procurement practices, metrics and monitoring, and perceived barriers to energy efficiency. We find that vendors are the key drivers of procurement decisions, advanced efficiency metrics are facility-specific, and there is convergence in the design of advanced facilities due to the heat density of parallelized infrastructure. Our ultimate goals for our research are to design DC decarbonization policies that target organizational structure, empower individual staff, and foster a supportive external market.</p></div>","PeriodicalId":537,"journal":{"name":"Energy Efficiency","volume":"17 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12053-024-10244-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141720363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy EfficiencyPub Date : 2024-07-15DOI: 10.1007/s12053-024-10243-8
Mirjana Radovanović, Sanja Filipović, Goran Šimić
{"title":"Facilitating circularity in city governance in the Republic of Serbia: a novel approach to modeling of energy efficiency big data mining","authors":"Mirjana Radovanović, Sanja Filipović, Goran Šimić","doi":"10.1007/s12053-024-10243-8","DOIUrl":"10.1007/s12053-024-10243-8","url":null,"abstract":"<div><p>Efficient use of energy and other resources, as the basic postulates of the circular economy, is a prerequisite for the green transition to more sustainable cities in the future. The main scientific goal of the paper is the development of a new approach to city governance when it comes to the inefficient use of energy, predominantly fossil fuels, mainly in developing and poor countries. Energy efficiency problems faced by these countries require the introduction of urgent, applicable, and realistically achievable solutions. A prerequisite for adequate analysis and modeling of energy efficiency performance, measures, policies, outcomes, and impacts is the introduction and functioning of the big data management system, which should begin with data mining. On the other hand, adequate data collection has been neglected in many of these countries. The study shows a way to reduce this gap, but in accordance with realistic and limited possibilities for countries with less favorable conditions. In that respect, a conceptual model for the <b><i>Analytical Service for facilitating energy efficiency in city governance</i></b> was developed and presented as a driver that can enable cities to manage energy more efficiently. The model is based on an interdisciplinary approach and on the needs of cities in the Republic of Serbia. However, it is designed to allow upgrading in accordance with the capabilities and resources of cities, primarily applicable in developing and poor countries.</p></div>","PeriodicalId":537,"journal":{"name":"Energy Efficiency","volume":"17 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12053-024-10243-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141647200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy EfficiencyPub Date : 2024-07-05DOI: 10.1007/s12053-024-10239-4
David Orțan
{"title":"The impact of higher utility costs on firm performance in the manufacturing sector: the case of an emerging economy","authors":"David Orțan","doi":"10.1007/s12053-024-10239-4","DOIUrl":"10.1007/s12053-024-10239-4","url":null,"abstract":"<div><p>Using a panel of Romanian firms in the manufacturing sector between 2010 and 2019, this paper assesses the impact of utility costs (electricity, gas, water and waste) increases on the economic performance of firms (in terms of employment, exports and productivity). By means of static (fixed effects) and dynamic (GMM) specifications, it finds a relatively moderate, yet negative impact in the case of all variables, under a variety of specifications. Energy costs seem to have a larger contemporaneous effect, which suggests that firms might in the longer-run switch to less energy intensive production processes. Moreover, the more energy intensive sectors are generally also the most impacted in terms of employment and productivity.</p></div>","PeriodicalId":537,"journal":{"name":"Energy Efficiency","volume":"17 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141547417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy EfficiencyPub Date : 2024-07-03DOI: 10.1007/s12053-024-10236-7
Andrew Jarvis, Carey W King
{"title":"Economy-wide rebound and the returns on investment in energy efficiency","authors":"Andrew Jarvis, Carey W King","doi":"10.1007/s12053-024-10236-7","DOIUrl":"10.1007/s12053-024-10236-7","url":null,"abstract":"<div><p>In this paper we re-examine the relationship between global Gross Domestic Product (GDP), Primary Energy Use (PEU) and Economic Energy Efficiency (EEE) to explore how investment in energy efficiency causes rebound in energy use at the global scale. Assuming GDP is a measure of final useful work, we construct and fit a biophysics-inspired nonlinear dynamic model to global GDP, PEU and EEE data from 1900—2018 and use it to estimate how energy efficiency investments relate to output growth and hence economy-wide rebound effects. We illustrate the effects of future deployment of enhanced energy efficiency investments using two scenarios through to 2100. The first maximizes GDP growth, requiring energy efficiency investment to rise ~ twofold. Here there is no decrease in PEU growth because economy-wide rebound effects dominate. The second scenario minimizes PEU growth by increasing energy efficiency investment ~ 3.5 fold. Here PEU and GDP growth are near fully decoupled and rebound effects are minimal, although this results in a long run, zero output growth regime. We argue it is this latter regime that is compatible with the deployment of enhanced energy efficiency to meet climate objectives. However, while output growth maximising regimes prevail, efficiency-led pledges on energy use and emissions reduction appear at risk of failure at the global scale.</p></div>","PeriodicalId":537,"journal":{"name":"Energy Efficiency","volume":"17 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12053-024-10236-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141547418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy EfficiencyPub Date : 2024-07-02DOI: 10.1007/s12053-024-10241-w
Mercedes Burguillo, Pedro Juez-Martel
{"title":"Just energy heating transitions: lessons from characteristics of households using different heating sources","authors":"Mercedes Burguillo, Pedro Juez-Martel","doi":"10.1007/s12053-024-10241-w","DOIUrl":"10.1007/s12053-024-10241-w","url":null,"abstract":"<div><p>In the context of the energy transition policy that came into force in Spain in 2019, it is necessary for households progressively to substitute dirty energy heating sources with clean ones. This means replacing energy heating carriers that use carbon energy sources with others that use electricity, that is the cleaner energy source, specifically in Spain where electricity mainly comes from renewable sources. This replacement must be based on the use of modern and efficient electric heating appliances. This can involve a substantial economic effort for certain households, that are already vulnerable. This paper proposes a multinomial model to determine which variables explain households’ energy heating sources use and applies this model to microdata, from the Spanish Household Budget Survey, for 2016-2019. Results show that it is likely that energy-poor households use gasoil or coal and electricity for heating. It is also more probable that households living in rural areas and older buildings use these sources. Households renting their dwelling and living in warm regions are more likely to use electricity, whereas those living in cold regions, urban areas, with woman heads are more likely to use gas. Households owning the dwelling, with older heads and residing in larger houses are more likely to use gasoil or solid fuels. From these results, implications are derived to inform public policy regarding just energy transition.</p></div>","PeriodicalId":537,"journal":{"name":"Energy Efficiency","volume":"17 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141502230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy EfficiencyPub Date : 2024-07-02DOI: 10.1007/s12053-024-10238-5
S. Raguvaran, S. Anandamurugan
{"title":"Enhancement of energy utilization efficiency and speed control of autonomous electric vehicles (AEVs): A hybrid approach","authors":"S. Raguvaran, S. Anandamurugan","doi":"10.1007/s12053-024-10238-5","DOIUrl":"10.1007/s12053-024-10238-5","url":null,"abstract":"<div><p>The efficiency of energy utilization in autonomous electric vehicles greatly impacts their longitudinal motion control. However, the complexity of driving scenes poses challenges to this control. This study introduces a hybrid approach that combines the improved coot optimization algorithm with adaptive reinforcement equilibrium learning to enhance both energy efficiency and speed control in autonomous electric vehicles. The primary innovation lies in optimizing and managing the powertrain efficiency operating point distribution to increase energy utilization efficiency. In the first phase, the improved coot optimization handles vehicle energy utilization efficiency by optimizing operational point transfers. The system normalizes motor torque and velocity to maximize efficiency within constrained conditions. Subsequently, in the second phase, adaptive reinforcement equilibrium learning effectively predicts vehicle speed control on irregular pathways. The proposed technique is implemented on the PYTHON platform to evaluate performance. The analysis also investigates two specific operating conditions: New European Driving Cycle (NEDC) and World Light-Duty Vehicle Test Cycle (WLTC). The findings demonstrate that the proposed strategy effectively optimizes vehicle powertrain efficiency operating point distribution, resulting in improved energy consumption outcomes. The energy utilization efficiency of the proposed approach is 90%, 93%, 95%, 96%, and 98.4%, respectively, at time 100 s, 200 s, 300 s, 400 s, and 500 s.</p></div>","PeriodicalId":537,"journal":{"name":"Energy Efficiency","volume":"17 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy EfficiencyPub Date : 2024-06-27DOI: 10.1007/s12053-024-10240-x
Soumaila Camara, Aleksandr Borisovich Sulin
{"title":"Reducing cooling water consumption in a solar absorption chiller for Mali climates","authors":"Soumaila Camara, Aleksandr Borisovich Sulin","doi":"10.1007/s12053-024-10240-x","DOIUrl":"10.1007/s12053-024-10240-x","url":null,"abstract":"<div><p>Solar cooling systems are considered as an alternative to conventional mechanical compression air conditioning systems. The use of these solar cooling systems contributes to the achievement of climate change objectives. This article provides a study of a single-effect LiBr/H2O absorption cooling system with a wet cooling tower driven by a combined double-acting collector for daytime solar heating and nighttime radiative cooling for efficient use of this system in hot climate regions such as Mali. The operation of a type of double-acting collector and cooling tower was studied throughout the year. The solar energy absorbed by the double-acting collector on the first day of operation heats the water in the storage tank 1 to 80 °C after 6 to 7 h of operation, and on subsequent days this duration is reduced by 3 to 4 h depending on the weather conditions. The operating time of the solar absorption cooling system studied is on average 8 h per day for the whole year. The water in the cold-water tank, cooled by night radiation into space, ensures operation without turning on the cooling tower for an average of 73 min per day. The annual water saving for the water losses in the cooling tower due to the night operation of the combined double-acting collector is estimated at approximately 35 m<sup>3</sup>. The yearly operation of the wet cooling tower of this absorption cooling system powered by a double-acting combined collector makes it possible to save approximately 15.4% of water losses and approximately 15.2% of energy thanks to the nocturnal radiative cooling of the water by the combined collector.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":537,"journal":{"name":"Energy Efficiency","volume":"17 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141502278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy EfficiencyPub Date : 2024-06-24DOI: 10.1007/s12053-024-10235-8
Karla Arias, Maria Colmenarez
{"title":"Energy efficiency and energy depletion analysis in oil-exporting developing countries","authors":"Karla Arias, Maria Colmenarez","doi":"10.1007/s12053-024-10235-8","DOIUrl":"10.1007/s12053-024-10235-8","url":null,"abstract":"<div><p>There is a significant research gap on the efficiency and sustainability of oil-exporting developing countries. This study employs a slacks-based-measure data-envelopment-analysis (SBM-DEA) model to optimize oil well benefits while minimizing undesirable outputs, such as carbon emissions and energy degradation. Furthermore, we apply a Malmquist Productivity Index (MPI) to assess and compare dynamic energy productivity efficiency among Latin American and African countries. Our analysis of 14 countries in these regions from 2006 to 2020 demonstrates that Equatorial Guinea, Gabon, Peru, and Bolivia exhibit higher energy efficiency than counterparts like Angola, Algeria, Mexico, Ecuador, and Colombia. Notably, our findings suggest that countries with higher extraction rates tend to be less efficient, resulting in greater environmental impact relative to economic benefits from extraction. In conclusion, this study underscores the importance of energy efficiency policies, which can significantly mitigate Greenhouse Gas (GHG) emissions and resource depletion at the national level while enhancing industry sustainability. We recommend that governments implement policies aimed at reducing energy consumption within the oil sector, including the reduction of electricity subsidies. Adopting realistic energy extraction costs is crucial in facilitating the transition towards renewable energy sources.</p></div>","PeriodicalId":537,"journal":{"name":"Energy Efficiency","volume":"17 6","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141502231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy EfficiencyPub Date : 2024-06-13DOI: 10.1007/s12053-024-10237-6
Reza Nadimi, Amin Nazarahari, Koji Tokimatsu
{"title":"Assessing Japan's energy poverty vulnerability amidst global conflict impacts using energy poverty possibility indicator","authors":"Reza Nadimi, Amin Nazarahari, Koji Tokimatsu","doi":"10.1007/s12053-024-10237-6","DOIUrl":"10.1007/s12053-024-10237-6","url":null,"abstract":"<div><p>This research explores energy poverty and its contextual factors in the Oita and Tokyo prefectures of Japan. The main objective of this research is to examine the household’s energy poverty variations from an affordability perspective due to the unexpected rise in energy prices following the Russia-Ukraine conflict and other influential factors. The study utilizes the Ten-percent rule and K-means clustering algorithm along with fuzzy numbers to propose the Energy Poverty Possibility Indicator. The proposed indicator is used to compare the intensity of energy poverty between Oita and Tokyo households in terms of three classes via 1,298 refined samples collected between 2021 and 2022. Results indicate that sudden spikes in energy costs widen the energy poverty gap to varying degrees across different regions. The results of the sensitivity analysis demonstrated that, in the current energy dilemma, the most effective plan to reduce the energy poverty burden in Tokyo (Oita) is to limit the increase of electricity and gas prices to 14% (9%) and 3% (21%), respectively, along with providing 5500 (9500) Japanese yen monthly in government financial support.</p></div>","PeriodicalId":537,"journal":{"name":"Energy Efficiency","volume":"17 5","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141393604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}