A regional energy planning methodology including renewable energy sources and environmental constraints

Cormio, C.; Dicorato, Maria; Minoia, A.; Trovato, M.

doi:10.1016/s1364-0321(03)00004-2

Cited by 245 publications

(88 citation statements)

References 13 publications

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“…:::; nÞ and l þ can be obtained by solving submodel (8). Based on the above solutions, the second submodel corresponding to l À can be formulated as follows:…”

Section: Methodsmentioning

confidence: 99%

“…Based on MARKAL, sectors of energy production, conversion, processing, transmission and consumption can be incorporated within a general framework to help formulate cost-effective energy-related plans [9e12, 23,24]. Brookhaven energy system optimization model (BESOM) was used to identify optimal mixing patterns of energy sources, technologies and investments within an energy management system under the minimized economic cost [8,25]. Energy flow optimization model (EFOM) was established as an engineering-oriented bottom-up model for national energy management systems planning and widely used in many European countries [7,8,26e28].…”

Section: Introductionmentioning

confidence: 99%

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Interval-fuzzy municipal-scale energy model for identification of optimal strategies for energy management – A case study of Tianjin, China

Chen

Huang

2016

Renewable Energy

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a b s t r a c tAn interval-fuzzy municipal-scale energy model (IF-MEM) is developed for energy systems planning. IF-MEM can effectively tackle uncertainties presented in terms of fuzzy sets and discrete intervals. IF-MEM is applied to a real case of energy systems planning in the City of Tianjin, which is the economic and industrial center of northern China. IF-MEM allows in-depth analyses for tradeoffs among economic objective, satisfaction degree, and constraint-violation risk. The results indicate that reasonable solutions have been generated. The results suggest that: (i) coal would be the dominant sources in city's energy systems due to the increasing energy demand; however, its consumption ratio would decrease over the planning horizon due to requirements of environment protection and sustainable development; (ii) clean (e.g., natural gas, liquefied petroleum gas) and renewable energies (e.g., wind power, solar power) would be vigorously encouraged during the planning periods; (iii) coal-fired technology (i.e., coal-fired power and heat) would be the major contributor for the city's atmosphere pollution; (iv) the pollutant emissions would be decreased over the planning horizon due to the restriction of fossil fuels and the development of renewable energy. Promoting the utilization of renewable energy sources is crucial for supporting pollutant emission reduction and solving energy shortage crisis.

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“…:::; nÞ and l þ can be obtained by solving submodel (8). Based on the above solutions, the second submodel corresponding to l À can be formulated as follows:…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Interval-fuzzy municipal-scale energy model for identification of optimal strategies for energy management – A case study of Tianjin, China

Chen

Huang

2016

Renewable Energy

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“…Energy planning 1 as a tool for sector-based strategic planning uses synoptic planning as its theory base, but also considers political aspects, and social and environmental considerations [7,8]. Energy-planning approaches are generally classified into three categories: planning by models, by analogy, and by enquiry [9]. However, with increasing public awareness of sustainability issues in relation to energy demand and supply, strategic planning frameworks for this sector have evolved [10].…”

Section: Opsommingmentioning

confidence: 99%

“…This requires the modification of existing strategic planning approaches, such as the Integrated Resource Plan (IRP), to fit the new power utility business environment [9,11,12].…”

Section: Opsommingmentioning

confidence: 99%

Rethinking Strategic Sustainability Planning for the Electricity Sector in South Africa

Mqadi

Musango

Brent

2018

SAJIE

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A series of processes is now converging to force the issue of sustainability to drive South Africa's low-carbon energy transitions. This raises the question of how a 'sustainability transition' framework can be conceptualised to address the challenge of lowcarbon electricity transitions in South Africa. This paper, therefore, critically reviews the strategic electricity planning process in South Africa within an established sustainability transitions theoretical framework. From the literature, it is observed that the challenges facing South Africa's strategic electricity planning resulted from the related politics, from differing views owing to different stakeholder preferences and lack of transparency in terms of electricity planning, and from a lack of, or misalignment between, development policies and objectives. All these theoretical and practical gaps reveal that South Africa must rethink its current strategic electricity planning practice, especially considering the country's political economy. This paper, therefore, proposes a conceptual complexity-planning framework to ensure that the complex sustainability policy objectives are aligned within the electricity planning process. OPSOMMING'n Reeks prosesse konvergeer nou om die kwessie van volhoubaarheid, en Suid-Afrika se lae-koolstof energie-oorgange, aan te spoor. Dit laat die vraag ontstaan hoe 'n raamwerk vir 'volhoubaarheid oorgange' gekonseptualiseer kan word, om die uitdaging van 'n lae-koolstof elektrisiteit oorgang in Suid-Afrika aan te spreek. Hierdie artikel verskaf dan 'n kritiese oorsig oor die strategiese elektrisiteit beplanningsproses in Suid-Afrika, opgestel in 'n gevestigde volhoubaarheid oorgange teoretiese raamwerk. Uit die literatuur is dit opgemerk dat die uitdagings in Suid-Afrika se strategiese elektrisiteit beplanning 'n gevolg is van die verwante politiek, verskillende sienings as gevolg van verskillende voorkeure van belanghebbendes in terme van die beplanning van elektrisiteit, en 'n gebrek aan, of uitlynfout tussen, ontwikkelingsbeleid en doelwitte. Al hierdie teoretiese en praktiese leemtes toon dat SuidAfrika sy huidige strategiese elektrisiteit beplanning praktyk moet herbesin, veral met inagneming van die politieke ekonomie van die land. Die artikel stel dus 'n konseptuele kompleksiteitbeplanningsraamwerk voor om belyning van verskillende, mededingende, en komplekse volhoubaarheid beleid doelwitte te verseker binne die elektrisiteit beplanningsproses.

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“…Multiple authors used AHP method for the renewable energy planning projects [13,28,29,33]. Other kinds of decision-making methods used in renewable energy investment projects are Fuzzy programming to evaluate the selection of renewable energy alternatives [29,34], Decision Support Systems based on fuzzy decision support model for the energy-economy planning [31,35], a methodology of Geo-spatial multi-criteria analysis used to set up the wave energy farm [36], and a linear programming optimisation methodology in the form of energy flow optimisation model (EFOM) is used for the regional energy planning with RESs and environmental constraints [37].…”

Section: Literature Reviewmentioning

confidence: 99%

Selection of Best Renewable Energy Source by Using VIKOR Method

Kumar

Samuel

2017

Technol Econ Smart Grids Sustain Energy

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The increasing global demand for the sustainable development of electricity sectors increased the contribution of renewable energy sources (RESs). RESs give the flexibility to install generation units at demand areas and reduce transmission and distribution losses. Selection of appropriate RES is more strategic and decisive area. This is a complex multi-criteria decision making (MCDM) problem of having uncertain and conflicting factors. In this work, we used the recently developed MCDM technique VIKOR method to choose best appropriate RES alternative for installation at Banaras Hindu University (BHU) campus, India. The advantage of VIKOR method is to have a solution closest to the ideal solution having an acceptable compromise of conflicting and non-commensurable criteria. For assigning weights to the different criteria, we used analytical hierarchy process (AHP). The importance of different criteria has been assigned by decision-makers based on their preferences. The result shows that the wind turbine option is the best choice for the case of BHU campus.

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A regional energy planning methodology including renewable energy sources and environmental constraints

Cited by 245 publications

References 13 publications

Interval-fuzzy municipal-scale energy model for identification of optimal strategies for energy management – A case study of Tianjin, China

Interval-fuzzy municipal-scale energy model for identification of optimal strategies for energy management – A case study of Tianjin, China

Rethinking Strategic Sustainability Planning for the Electricity Sector in South Africa

Selection of Best Renewable Energy Source by Using VIKOR Method

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