Model-based energy planning: A methodology to choose and combine models to support policy decisions DOI Creative Commons

Dilayne Santos Oliveira,

Sara Lumbreras, Erik F. Alvarez

et al.

International Journal of Electrical Power & Energy Systems, Journal Year: 2024, Volume and Issue: 159, P. 110048 - 110048

Published: May 30, 2024

Long-term energy planning increasingly relies on mathematical models offering quantitative insight to support complex policy decisions. However, the increase in their use has meant proliferation of tools developed at different institutions, with various scopes, dealing specific aspects economy, power sector, or climate, mismatches temporal geographic resolution. All this creates a need for using several concurrently, integrating them generate complete perspective implications decisions transition. This article proposes methodology categorize and combine develop manipulation strategy answer target research question. Thus, it gives formal structure tasks carried out informally −and suboptimally- virtually any project. is based structured modeling, theory conceived representing manipulating models. It assumes soft-linking approach, meaning share information without within same platform code. framework was European project openENTRANCE, which will develop, use, disseminate an open, transparent, integrated modeling assessing low-carbon transition pathways Europe.

Language: Английский

Material and energy coupling systems optimization for large-scale industrial refinery with sustainable energy penetration under multiple uncertainties using two-stage stochastic programming DOI
Tiantian Xu, Jian Long, Liang Zhao

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 371, P. 123525 - 123525

Published: June 20, 2024

Language: Английский

Citations

2
Incorporating indirect costs into energy system optimization models: Application to the Dutch national program Regional Energy Strategies DOI Creative Commons
Ni Wang,

Remco Verzijlbergh,

Petra Heijnen

et al.

Energy, Journal Year: 2023, Volume and Issue: 276, P. 127558 - 127558

Published: April 21, 2023

Energy system optimization models are widely used to aid long-term investment decision-making for energy systems. From a socio-technical viewpoint, existing focus on the cost modeling of technical subsystem, while indirect costs social subsystem not often modeled. This paper incorporates into such model, including those associated with generation capacity, production, and bilateral trades, respectively. As proof-of-concept, model has been applied case study Dutch power system, reflecting national program Regional Strategies, where regions collectively plan wind solar capacities. We conclude that incorporating significantly changed optimal capacities compared benchmark results from conventional models. Furthermore, in this study, potential free-rider problem regard climate target occurs. Our is as negotiation simulator inform about hypothetical free-riding behaviors thus helps achieve socially acceptable plan. The proposed goes beyond prevalent cost-minimization paradigm, can be transaction costs, trading barriers, willingness pay.

Language: Английский

Citations

6
Distributed low-carbon operational optimization model of an integrated energy system based on ladder carbon trading and integrated demand response DOI
Yi Yan, Mingqi Liu, Shuzhen Li

et al.

International Journal of Green Energy, Journal Year: 2023, Volume and Issue: 21(6), P. 1324 - 1344

Published: Aug. 31, 2023

ABSTRACTIntegrated energy system (IES) has become significant in the global revolution because of its unique advantage promoting clean use and improving efficiency. However, low-carbon operational optimization capacity allocation challenges have sharply increased because, as scale continuously grows, inherent strongly coupled multi flow high nonlinearity characteristics more prominent. This study proposes a distributed mechanism for an IES using integrated demand response (IDR) ladder carbon trading (LCT). First, was modeled model between operators (EO) that contain combined cooling, heating, power systems (CCHP) flexible users (FU) based on Stackelberg game. Second, formulated source-load synergistic operation scheduling IDR LCT. Finally, strategy each stakeholder obtained modified algorithm genetic nested quadratic programming (GA-QP). The effectiveness proposed verified through case study. economic benefits improved, confirmed experimental results. cost FU decreased by 4.42%, revenue from sales EO 11.9%; renewable prioritized consumption, with consumption rate 100%; total output core devices cascade utilization 15.6%, significantly supply efficiency; emissions 8.64%; heat loss rates were 0% 0.00059%, respectively.Highlights With rapid development energy, relies advantages flexibility, toughness, coupling utilization, demonstrates serving carrier adapting to energyThe Renewable is 8.64%, both are 0%, error 0.00059%Based above research, this paper established Integrated CCHP gameIn view gradual deepening degree IES, increasingly obvious multi-agent, difficulty centralized protect interests independent entity, inadequacy system's advantages, establishes bilateral Game theoryIn insufficient existing research attention paid interaction sides system, enthusiasm entities participate scheduling, article adopts load side strategyKEYWORDS: theoryintegrated responseintegrated systemladder tradingdistributed Nomenclature Abbreviation= IES=integrated systemIDR=integrated responseDR=demand responseLCT=ladder tradingCCHP=combined heating systemCE=carbon emissionsEO=energy operatorsFU=flexible usersGA-QP=genetic programmingCAES=compressed air storagePV=photovoltaicsWT=wind turbineGT=gas turbineGB=gas boilerWHB=waste boilerER=electric refrigeratorSymbols= η=efficiencyP=electric powerQ,H=heat powerF=objective functionI,G=income or costC,c=priceδ=price multiplierλ=carbon emission factorμ=discomfort factorT=timeN=player setSubscripts= mt=gas turbinegh=waste boilergb=gas boilerer=electric refrigeratorc=coldh=heate=electricitym=maintenancegrid=local gridng=natural gasctc=carbon costsdr=demand responseEP=cost GT GBbuy=purchase userun=discomfort usersh=transfer loadcut=reduction loadn=ratedmin=lower limitmax=upper limitSuperscripts= t=timeAcknowledgementsThis work supported National Natural Science Foundation China (No. 52007109), 62133008).Disclosure statementThe author(s) declare they no known competing financial personal relationships could appeared influence reported paper.Data availability statementData will be made available request.Additional informationFundingThis partly [No. 52007109, 62133008].

Language: Английский

Citations

6
Assessment of renewable energy use in natural gas liquid processing by improved process integration with heat pumps DOI Creative Commons
Stanislav Boldyryev, Maxim Kuznetsov, Irina Ryabova

et al.

e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2023, Volume and Issue: 5, P. 100246 - 100246

Published: Aug. 12, 2023

Decarbonisation of the industrial sector is a crucial objective in new technological developments responding to global challenges. Energy-intensive industry one biggest pollutants and it mostly supplied by fossil fuels. This paper presents methodology for assessment electrified options process based on systematic integration techniques. The graphical representation was used analyse physical processes unit. improved heat recovery utility targeting were performed using Grand Composite Curve analysing main streams distillation column system. thermal system uses electric steam boilers, water coolers, pumps, etc. case study analyses natural gas liquid processing assesses utility. initial simulated UniSim environment obtained thermophysical properties analysis. integrated scenario presumes low-pressure boiler, propylene coolers 3 pumps. Heat increased 4 times compared 100% utilities used. energy cost reduced 41% carbon dioxide emissions are 512,778 tons per capita existing when renewable approach can be further development decarbonisation electricity industries.

Language: Английский

Citations

5
Model-based energy planning: A methodology to choose and combine models to support policy decisions DOI Creative Commons

Dilayne Santos Oliveira,

Sara Lumbreras, Erik F. Alvarez

et al.

International Journal of Electrical Power & Energy Systems, Journal Year: 2024, Volume and Issue: 159, P. 110048 - 110048

Published: May 30, 2024

Long-term energy planning increasingly relies on mathematical models offering quantitative insight to support complex policy decisions. However, the increase in their use has meant proliferation of tools developed at different institutions, with various scopes, dealing specific aspects economy, power sector, or climate, mismatches temporal geographic resolution. All this creates a need for using several concurrently, integrating them generate complete perspective implications decisions transition. This article proposes methodology categorize and combine develop manipulation strategy answer target research question. Thus, it gives formal structure tasks carried out informally −and suboptimally- virtually any project. is based structured modeling, theory conceived representing manipulating models. It assumes soft-linking approach, meaning share information without within same platform code. framework was European project openENTRANCE, which will develop, use, disseminate an open, transparent, integrated modeling assessing low-carbon transition pathways Europe.

Language: Английский

Citations

1