A dynamic model to optimize a regional energy system with waste and crops as energy resources for greenhouse gases mitigation

Han, Song; Dotzauer, Erik; Thorin, Eva; Guziana, Bozena; Huopana, Tuomas; Yan, Jinyue

doi:10.1016/j.energy.2012.07.060

Cited by 28 publications

(10 citation statements)

References 16 publications

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“…Nowadays many countries around the world are seeking to optimize their energy systems to achieve their stated national climate policy goals. Various opportunities for increasing renewable electricity and heat generation, transferring transport to alternative fuels are considered as directions for possible optimization (Song et al, 2012;Daraei et al, 2019;Siala et al, 2019;Li et al, 2020;Haikarainen et al, 2020;. At the same time, when choosing possible directions for development, the main optimization criteria are most often considered the cost of energy, technological accessibility and environmental impact that arise in the process of generation and consumption of energy (Karlsson et al, 2009;Zhang et al, 2018;Titova and Ratner, 2019;Siala et al, 2019;Daraei et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

The Linear Programming Problem of Regional Energy System Optimization

Victorovich

Khrustalev

Ларин

et al. 2021

IJEEP

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Section: Introductionmentioning

confidence: 99%

The Linear Programming Problem of Regional Energy System Optimization

Victorovich

Khrustalev

Ларин

et al. 2021

IJEEP

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“…Over the past 20 years, fossil-fuel combustion in the electric power system (EPS) has caused about three-quarters of the world's carbon dioxide emissions [1]. The sustainable development of EPSs continues to be a focused concern for most countries worldwide.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Objective Energy and Environmental Systems Planning Model: Management of Uncertainties and Risks for Shanxi Province, China

2018

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In this study, a fuzzy chance-constrained fractional programming (FCFP) approach is developed to help tackle various uncertainties involved in electric power systems (EPSs) management. The FCFP approach is capable of solving ratio optimization decision problems in power systems associated with random and fuzzy information by chance-constrained programming (CCP) method, fuzzy measure programming, fractional programming (FP) into a general framework. It can tackle inexact information expressed as fuzzy set and probability distributions, comprehensively reflect the decision maker’s pessimistic and optimistic preferences, and balance dual objectives of system economy and sustainability. To demonstrate its applicability, FCFP approach is then applied to a case study of Shanxi Province, a typical coal-heavy electricity region in China. The results indicate that the FCFP approach reveals uncertain interactions among the decision maker’s preferences and various random variables. Reasonable solutions have been generated for Shanxi EPS management practices, which can provide strategies in mitigating pollutant emissions, reducing system costs, and promoting coalbed methane as an alternative energy source for coal-fired and plays an essential role in Shanxi’s municipal planning. The solutions will help decision makers generate alternatives in the event of the reducing coal-fired power generation and could be applicable in other coal-heavy electricity regions.

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“…Therefore, in order to provide an appropriate insight into the complex field of energetic use of biomass, and to support decision-making at a regional level, all the related components with their effects, causes and feedbacks and their potential future changes and developments should be quantitatively described (Killinger et al, 2015; Song et al, 2012; Szarka et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

A systems dynamics approach for supporting regional decisions on the energetic use of regional biomass residues

2018

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This article presents the definition, building, calibration and application of a system dynamics simulation model to quantify the present and future comparative advantages and disadvantages of using forest and agricultural residual biomass for energetic purpose through different processes and technologies, on a regional basis. A dynamic structure of the agricultural and forestry biomass process activities (i.e. production, transport, conversion and consumption) based on regional time-series data was built, implemented into and calibrated within a dynamic simulation tool (Vensim software) within a Hungarian county. Besides the agriculture and forestry sectors, the model includes data about demography, economy, environment and land use, among others. For carrying out the assessment, realistic scenarios of future biomass processes and of biomass use were formulated, characterised by quantitative sustainable development indicators and simulated within the dynamic model. The results prove that the introduced model supports decision making of biomass utilisation in a regional scale, through comparing and analysing quantitative changes of economic, social and environment indicators, which characterise a sustainable regional development. The model therefore allows analyses and evaluation of not only partial prosperous or adverse characteristics of biomass processes and use, but also to relate regional components and their development over time. The developed dynamic tool is therefore a powerful method to model complex systems, such as a regional energy system, considering the framework of the regional preferences stated by the regional stakeholders. It can thus provide useful decision support, especially when used as a priority-based screening of potential regional development programmes in the energy field.

show abstract

A dynamic model to optimize a regional energy system with waste and crops as energy resources for greenhouse gases mitigation

Cited by 28 publications

References 16 publications

The Linear Programming Problem of Regional Energy System Optimization

The Linear Programming Problem of Regional Energy System Optimization

A Multi-Objective Energy and Environmental Systems Planning Model: Management of Uncertainties and Risks for Shanxi Province, China

A systems dynamics approach for supporting regional decisions on the energetic use of regional biomass residues

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