Ngakan Ketut Acwin Dwijendra, O. Candra, Ihsan Ali Mubarak, Hassan Taher Braiber, Muneam Hussein Ali, I. Muda, R. Sivaraman, A. Iswanto
{"title":"Optimal Energy-Saving in Smart Energy Hub Considering Demand Management","authors":"Ngakan Ketut Acwin Dwijendra, O. Candra, Ihsan Ali Mubarak, Hassan Taher Braiber, Muneam Hussein Ali, I. Muda, R. Sivaraman, A. Iswanto","doi":"10.2478/rtuect-2022-0094","DOIUrl":null,"url":null,"abstract":"Abstract This study focused on energy saving in energy hub system using smart grid technologies and management of the energy demand. The two-layer energy management is proposed for implementing energy saving. In first layer, energy demand such as electrical, thermal and natural gas are optimized subject to optimal level of the demand at day-ahead. Then, optimized energy demand is applied in second layer to reduction energy generation costs. The optimization of the proposed approach is done by shuffled frog leaping algorithm (SFLA), and results at several case studies to confirmation of the proposed approach are investigated.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental and Climate Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/rtuect-2022-0094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract This study focused on energy saving in energy hub system using smart grid technologies and management of the energy demand. The two-layer energy management is proposed for implementing energy saving. In first layer, energy demand such as electrical, thermal and natural gas are optimized subject to optimal level of the demand at day-ahead. Then, optimized energy demand is applied in second layer to reduction energy generation costs. The optimization of the proposed approach is done by shuffled frog leaping algorithm (SFLA), and results at several case studies to confirmation of the proposed approach are investigated.
期刊介绍：
Environmental and Climate Technologies provides a forum for information on innovation, research and development in the areas of environmental science, energy resources and processes, innovative technologies and energy efficiency. Authors are encouraged to submit manuscripts which cover the range from bioeconomy, sustainable technology development, life cycle analysis, eco-design, climate change mitigation, innovative solutions for pollution reduction to resilience, the energy efficiency of buildings, secure and sustainable energy supplies. The Journal ensures international publicity for original research and innovative work. A variety of themes are covered through a multi-disciplinary approach, one which integrates all aspects of environmental science: -Sustainability of technology development- Bioeconomy- Cleaner production, end of pipe production- Zero emission technologies- Eco-design- Life cycle analysis- Eco-efficiency- Environmental impact assessment- Environmental management systems- Resilience- Energy and carbon markets- Greenhouse gas emission reduction and climate technologies- Methodologies for the evaluation of sustainability- Renewable energy resources- Solar, wind, geothermal, hydro energy, biomass sources: algae, wood, straw, biogas, energetic plants and organic waste- Waste management- Quality of outdoor and indoor environment- Environmental monitoring and evaluation- Heat and power generation, including district heating and/or cooling- Energy efficiency.
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