Energy for Sustainable Development最新文献

{"title":"Energy efficiency and sustainability: Implementing circular economy principles for cabin waste management in aviation","authors":"Turker Burak Guven ,&nbsp;Hursit Degirmenci ,&nbsp;Ali Gunerhan ,&nbsp;Onder Altuntas","doi":"10.1016/j.esd.2024.101515","DOIUrl":"10.1016/j.esd.2024.101515","url":null,"abstract":"<div><p>Currently, fossil fuels supply the aviation industry with nearly all of its energy requirements. The dependence on this has rendered an economically sustainable system unsustainable. Some steps have been implemented in response to environmental pressures. Depollution and the utilization of renewable energy sources are two approaches to environmental pollution mitigation. Utilizing the Circular Economy (CE) methodology, this study generates crucial recommendations to mitigate cabin waste. These include facilities for converting waste into energy, food donation centers, and the production of fertilizer and animal feed for airports. A conceptual design and assessment of the viability of an Anaerobic Digestion (AD) facility for cabin waste at Antalya Airport were conducted as part of this research endeavor. Remarkable findings of the research include the production of an estimated 36.7 tons.day⁻¹ of edible food for the donation center, 2.5 tons.day⁻¹ of CH₄, and 5.4 tons.day⁻¹ of fertilizer. The combined heat and power unit (CHP) has the capacity to produce approximately 340 kWh of thermal energy and 514 kWh of electricity with biogas.</p></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"81 ","pages":"Article 101515"},"PeriodicalIF":4.4,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141630614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing battery energy storage systems for photovoltaic applications in extremely cold regions: A brief review","authors":"Qingqing Li,&nbsp;Xindong Wei,&nbsp;Jiazhi Wang,&nbsp;Yanxu Chao,&nbsp;Yan Li,&nbsp;Handan Fan","doi":"10.1016/j.esd.2024.101517","DOIUrl":"10.1016/j.esd.2024.101517","url":null,"abstract":"<div><p>With the accelerating deployment of renewable energy, photovoltaic (PV) and battery energy storage systems (BESS) have gained increasing research attention in extremely cold regions. However, the extreme low temperatures pose significant challenges to the performance and reliability of such systems. This paper reviews the current progress in PV-BESS technologies and applications in extreme cold climates. The major technical challenges are discussed, including the impacts of low temperatures on PV and battery efficiency, snow and icing effects, and difficulties in system modeling and optimization. Recent solutions are analyzed, such as advanced PV module designs, battery thermal controls, anti-icing coatings, and sensors. Case studies of existing PV-BESS demonstration projects in cold regions are presented, and key lessons learned from real-world operation data are summarized. The economic feasibility and policy incentives for promoting PV-BESS in cold areas are also examined. Finally, recommendations for further research and development are provided to overcome the limitations and knowledge gaps. This review covers the current state-of-the-art in PV-BESS systems suited for extreme cold environments, providing insights for researchers and engineers working on advancing renewable energy in these challenging climates. Key findings indicate that despite technical hurdles, PV-BESS systems show promising potential in extreme cold regions through continued system optimization, cost reduction, and supportive policies.</p></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"81 ","pages":"Article 101517"},"PeriodicalIF":4.4,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141623217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A critical barrier identification framework to the development of power system flexibility resources in the Beijing-Tianjin-Hebei region","authors":"Yanbin Li ,&nbsp;Tingting Xiao ,&nbsp;Chang Liu ,&nbsp;Yuan Wang ,&nbsp;Yun Li ,&nbsp;Jiawei Wang","doi":"10.1016/j.esd.2024.101504","DOIUrl":"https://doi.org/10.1016/j.esd.2024.101504","url":null,"abstract":"<div><p>Power system flexibility resources (PSFR) are conducive to the construction of new power system and the early realization of the “Dual Carbon” goal in China. Although the development of PSFR is accelerating in China, it is still remains challenging to meet the demands of the energy transition due to various barriers that hinder it. The Beijing-Tianjin-Hebei region, as a typical region, plays a crucial role in the development of PSFR. Thus, this paper constructs an objective research framework to effectively analysis barriers and promotes the development of PSFR in the region. Firstly, based on the analysis of the current situation of PSF, 15 barriers affecting its development are identified. Then, the barrier identification framework is constructed to study the prominence of the above barriers and their transmission pathways. The results show that five barriers are considered critical to developing PSFR in the region. Accordingly, this paper proposes recommendations to alleviate or eliminate the critical barriers, thus promoting the development of PSFR.</p></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"81 ","pages":"Article 101504"},"PeriodicalIF":4.4,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141594168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Protecting avian wildlife for wind farm siting: The Screening Tool Proof of Concept” [Energy for Sustainable Development 74 (2023) 66–78]","authors":"Eldina Salkanović","doi":"10.1016/j.esd.2024.101508","DOIUrl":"https://doi.org/10.1016/j.esd.2024.101508","url":null,"abstract":"","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"81 ","pages":"Article 101508"},"PeriodicalIF":4.4,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0973082624001340/pdfft?md5=d841999505c43c82031c75cc934f8b55&pid=1-s2.0-S0973082624001340-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141594173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal energy storage configuration to support 100 % renewable energy for Indonesia","authors":"Ahmad Amiruddin,&nbsp;Ariel Liebman,&nbsp;Roger Dargaville,&nbsp;Ross Gawler","doi":"10.1016/j.esd.2024.101509","DOIUrl":"https://doi.org/10.1016/j.esd.2024.101509","url":null,"abstract":"<div><p>This study presents a renewable energy (RE) optimization study to model the pathway to achieve 100 % carbon abatement, focussing on options for storage, using Indonesia's national electricity grid as a case study. Utilizing the PLEXOS energy simulation tool, the study covers the period 2021–2045. It employs an optimization of cost minimization function approach, encompassing investment, operation, maintenance, and unserved energy. The study integrates various components, including electricity supply and demand, transmission, renewable sources, and energy storage, while considering operational, build, and renewable energy target constraints. A range of scenarios are explored, varying in RE targets, battery capacities, and whether to include open-cycle gas turbines. The key novelty of this study is considering multiple versions of battery storage, with different options for the number of hours of storage. The findings indicate that higher RE targets lead to increased total installed nameplate capacity, with a significant portion from battery storage. In the early phases, batteries with 2-hour of capacity prioritized for short-term needs. As the focus shifts to more extended targets, batteries with a 4-hour capacity are recognized as more cost-effective and become the predominant choice. Over time, the least-cost strategy evolves to incorporate 10-hour capacity batteries to meet long-term energy storage requirements. To achieve a 100 % RE target by 2045, it is estimated that alongside every 100 MW of wind and solar capacity, there should be a corresponding 42 MW of energy storage. However, interpretations of these findings must consider the limited temporal resolution, uncertainties in demand and cost, and challenges related to grid inertia from energy storage, which may affect the stability and feasibility of the proposed solutions. This research offers crucial insights for energy policy and infrastructure development in renewable energy and storage system implementation.</p></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"81 ","pages":"Article 101509"},"PeriodicalIF":4.4,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0973082624001352/pdfft?md5=342c099b617e21ae45b6794434e03472&pid=1-s2.0-S0973082624001352-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141594172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing open data for hourly power generation forecasting in newly commissioned photovoltaic power plants","authors":"Filip Nastić,&nbsp;Nebojšta Jurišević,&nbsp;Danijela Nikolić,&nbsp;Davor Končalović","doi":"10.1016/j.esd.2024.101512","DOIUrl":"https://doi.org/10.1016/j.esd.2024.101512","url":null,"abstract":"<div><p>This paper introduces a novel approach for forecasting hourly outputs in photovoltaic power plants. The approach was tailored to the needs of energy cooperatives by focusing on availability/cost, ease of use, reliability, and replicability. Following the cooperative values, the proposed methodology relies entirely on open data; primarily on the data from the Photovoltaic Geographical Information System (PVGIS). Additionally, the approach was developed to perform short-term (next-day), hourly power-generation forecasts for power plants without or with limited on-site historical records. Seven predictive algorithms were utilized to model the power outputs. The algorithm that performed best (<em>CatBoost</em>) was optimized by using the <em>Sequential Feature Selection</em> and <em>Optuna</em> (<em>automatic hyperparameter optimization software framework</em>). The validation of the developed model was conducted on the actual data from three photovoltaic plants. On these samples, the model performed with a coefficient of determination ranging from 0.83 to 0.9 with only 5 input parameters. Even though the approach was designed to meet the needs of energy cooperatives, it is not limited to such purposes.</p></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"81 ","pages":"Article 101512"},"PeriodicalIF":4.4,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141594171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wind energy potential and large-scale turbine performance analysis for Mogadishu – Somalia","authors":"Bahtiyar Dursun,&nbsp;Ercan Aykut","doi":"10.1016/j.esd.2024.101514","DOIUrl":"https://doi.org/10.1016/j.esd.2024.101514","url":null,"abstract":"<div><p>Somali is a country having energy supply discontinuously. Only 80 % of the country can reach electricity and it supplies most of the energy from fossil fuel. Moreover it requires different energy sources in order to meet the demand.</p><p>In this study, the analysis of wind energy potential of Mogadishu, capital of Somalia, was realized. By using the realtime wind speed and wind direction, average wind speed and unit power density values at a particular height was calculated. By using these data with Weibull and Rayleigh probability density functions, average wind speed and wind energy was analyzed. According to the wind speed measurement analysis, the average wind speed was measured as 4494 m/s at 10 m height and calculated to be 6203 m/s at 100 m altitude where average wind power density was measured as 114,94 W/m² at 10 m height and calculated to be 302,323 W/m² at 100 m level. Weibull and Rayleigh probability distribution parameters were calculated by using MATLAB curve fitting tool as k = 1,71 and c = 5,03 m/s while a and b parameters were 0,165 and 1,71 respectively. As a result of the analysis, VESTAS V172-7,2MW was decided to be the most suitable wind turbine for Mogadishu.</p></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"81 ","pages":"Article 101514"},"PeriodicalIF":4.4,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141594086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy resilience assessment: Incorporating consideration of recoverability and adaptability in risk assessment of energy infrastructure","authors":"Pidpong Janta ,&nbsp;Nattapat Leeraphun ,&nbsp;Kampanat Thapmanee ,&nbsp;Phumanan Niyomna ,&nbsp;Hathaithip Sintuya ,&nbsp;Worajit Setthapun ,&nbsp;Pisit Maneechot ,&nbsp;Preecha Sriprapakhan ,&nbsp;Nuwong Chollacoop ,&nbsp;Kampanart Silva","doi":"10.1016/j.esd.2024.101506","DOIUrl":"https://doi.org/10.1016/j.esd.2024.101506","url":null,"abstract":"<div><p>Large-scale deployment of renewable energy is being witnessed around the world as a result of global commitment towards carbon neutrality and Sustainable Development Goals, particularly SDGs 7 and 13. Renewable energy infrastructure becomes more vulnerable to disasters and climate change requiring revisit of risk assessment to ensure its resilience against future threats. This study proposes an energy resilience assessment framework that enables evaluation of all attributes of resilient energy infrastructure: prepare, absorb, recover, and adapt. Building upon risk assessment, the framework helps the energy infrastructure prepare for future disruptions and absorb resulting consequences. It introduces evaluation of changes of risks over time, which enables better recoverability. It also ensures engagement of stakeholders that enhances adaptability of the system towards future threats. A case study of energy resilience assessment using the proposed framework with Chiang Mai Rajabhat University's 702 kW solar power plant proved practicality of the framework and its ability to contribute to system's recoverability and adaptability. ASEAN Energy Resilience Assessment Guideline was developed and promoted in policy domain as an example of efforts to put the framework into broader practice.</p></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"81 ","pages":"Article 101506"},"PeriodicalIF":4.4,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141594170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retrofit design and operation strategies for dental clinics with optimised indoor thermal comfort, energy consumption, and life cycle cost","authors":"Siyu Ma ,&nbsp;Wu Deng ,&nbsp;Jun Lu ,&nbsp;Tongyu Zhou ,&nbsp;Huayan Zhang ,&nbsp;Xiaopeng Wang","doi":"10.1016/j.esd.2024.101510","DOIUrl":"https://doi.org/10.1016/j.esd.2024.101510","url":null,"abstract":"<div><p>Healthcare buildings have strict thermal comfort requirements and their energy consumption and costs are higher than general public buildings'. In recent years, there has been an influx of research on optimising thermal comfort, energy consumption and cost. However, literature reviews reveal that healthcare buildings have significant differences in thermal environment requirements compared to general public buildings. In addition, medical equipment has a considerable impact on energy consumption and indoor temperatures. Currently, there is a lack of research addressing the unique characteristics of healthcare buildings for this triple-objective optimisation. This study took a dental clinic in Ningbo as the case study, simulated and evaluated the current status of building performance, and proposed the idealised retrofitting strategy based on the results of the sensitivity analysis. Simulation and empirical findings indicated that although the current dental clinic exhibited relatively low energy consumption and life cycle cost (LCC), occupants suffered from significant overheating problems. Adjusting the cooling and heating setpoints to 23.5 °C and 21.5 °C respectively, and replacing the cool reheat dehumidification control HVAC system, although resulting in a slight increase in annual energy demand (AED) and LCC, dramatically improved the thermal comfort indicator <span><math><mi>A</mi><mover><msup><mfenced><mi>aPMV</mi></mfenced><mn>2</mn></msup><mo>¯</mo></mover></math></span> from the original 0.625 to 0.402. And this is the idealised solution yielded by the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, with surveyed weights of <span><math><mi>A</mi><mover><msup><mfenced><mi>aPMV</mi></mfenced><mn>2</mn></msup><mo>¯</mo></mover></math></span>, AED and LCC of 0.5, 0.255 and 0.245 respectively. The research outcomes can serve as references for treatment space retrofit programmes. The novelty of this research lies in proposing a comprehensive analysis of retrofit strategies for treatment space considering thermal comfort, energy consumption, and cost, with the application of the adaptive thermal comfort model and the consideration of medical equipment's energy useage and heat production.</p></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"81 ","pages":"Article 101510"},"PeriodicalIF":4.4,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141594169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Management of sustainable investments: A comprehensive financial evaluation of wind energy facilities in Kastamonu","authors":"Faruk Dayi,&nbsp;Mustafa Yucel,&nbsp;Ziya Demirkol,&nbsp;Ali Cilesiz","doi":"10.1016/j.esd.2024.101501","DOIUrl":"https://doi.org/10.1016/j.esd.2024.101501","url":null,"abstract":"<div><p>The rich renewable sources of nature, such as water, wind, solar, geothermal, and biomass, are converted into energy, revitalized into the economy without causing pollution, and ensure sustainability in energy management. Wind power plants have been among the most preferred renewable energy sources in recent years since they are harmless to the environment and easy to install in places with consistent and sufficient wind speed. This study focuses on conducting a feasibility analysis of a Wind Power Plant (WPP) in Kastamonu, a region known for its persistent wind patterns. The analysis aims to contribute to the existing literature by examining the potential of a WPP investment project within the region. Utilizing wind speed data collected from 23 observation stations for six years, starting from 2017 to 2022, a total of 1,200,600 h, a statistical evaluation method known as the Weibull probability density function is employed to indicate the wind energy potential. The parameters are determined by applying the maximum likelihood method. The findings indicate that it is feasible to establish Wind Energy Power Plants in specific locations, namely İnebolu, İnebolu Kar, Küre, and Tosya stations. The cost estimation for establishing a 10 MW power plant with three different turbine powers across these four locations ranges from 10 million USD to 20,8 million USD. Furthermore, the analysis indicates that the net profit for producing 1 kW of electrical energy falls from 9.39 to 50.65 USD. The projected payback period for the investment ranges from 2 to 25 years, depending on factors such as the exact site of the facility and the size of the turbines. Some investments are more feasible than others, with economic viability and potential return on investment varying significantly within the specified locations.</p></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"81 ","pages":"Article 101501"},"PeriodicalIF":4.4,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141594167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}