MODEST—An energy-system optimisation model applicable to local utilities and countries

Henning, Dag

doi:10.1016/s0360-5442(97)00052-2

Cited by 98 publications

(52 citation statements)

References 21 publications

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“…The investment costs for the plants have been adjusted to €2010 using the Chemical Engineering Plant Cost Index (CEPCI, 2010), and calculated from the data available in the referred studies using an overall scaling factor (R) of 0.7 (Remer and Chai, 1990) costs (Henning, 1997).…”

Section: Economic and Technical Characteristics Of The Biofuel Producmentioning

confidence: 99%

Integration of biofuel production into district heating – part I: an evaluation of biofuel production costs using four types of biofuel production plants as case studies

Ilić

Dotzauer

Trygg

et al. 2014

Journal of Cleaner Production

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This paper evaluates the effects on profitability of biofuel production if biofuel producers would sell the waste heat from the production to a local district heating system. All analyses have been performed considering four different technology cases for biofuel production. Two technology cases include ethanol production which is followed by by-production of raw biogas.This biogas can be upgraded and sold as biofuel (the first technology case) or directly used for combined heat and power production (the second technology case 2 market scenarios were considered. The sensitivity analyses of the discount rate were performed as well.In the case of energy market conditions, the profitability depends above all on the price ratio between biomass (used as the feedstock for biofuel production) and crude oil (used as the feedstock for fossil diesel and gasoline production). The reason for this is that the gate biofuel prices (the prices on which the biofuel would be sold) were calculated assuming that the final prices at the filling stations are the same as the prices of the replaced fossil fuel. The price ratios between biomass and district heating, and between biomass and electricity, also have an influence on the profitability, since higher district heating and electricity prices lead to higher revenues from the heat/electricity by-produced.Due to high biofuel (ethanol + biogas) efficiency, the ethanol production plant which produces upgraded biogas has the lowest biofuel production costs. Those costs would be lower than the biofuel gate prices even if the support for transportation fuel produced from renewable energy sources were not included. If the raw biogas that is by-produced would instead be used directly for combined heat and power production, the revenues from the electricity and heat would increase, but at the same time the biofuel efficiency would be lower, which would lead to higher production costs. On the other hand, due to the fact that it has the highest heat efficiency compared to the other technologies, the ethanol production in this plant shows a high sensitivity to the district heating price level, and the economic benefit from introducing such a plant into a district heating system is most obvious. Assuming a low discount rate (6 %), the introduction of such a plant into a district heating system would lead to between 28 % and 52 % (depending on the district heating price level and energy market scenario) lower biofuel production costs. Due to the lower revenues from the heat and electricity co-produced, and higher capital investments compared to the ethanol production 3 plants, Fischer-Tropsch diesel and dimethyl ether productions are shown to be profitable only if high support for transportation fuel produced from renewable energy sources is included.The results also show that an increase of the discount rate from 6 % to 10 % does not have a significant influence on the biofuel production costs. Depending on the biofuel production plant, and on the energy market and district heating cond...

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Section: Economic and Technical Characteristics Of The Biofuel Producmentioning

confidence: 99%

Integration of biofuel production into district heating – part I: an evaluation of biofuel production costs using four types of biofuel production plants as case studies

Ilić

Dotzauer

Trygg

et al. 2014

Journal of Cleaner Production

View full text Add to dashboard Cite

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“…• MODEST is an optimization model that aims to minimise investment and operating costs while satisfying energy demands [10,11]. It can be used for a wide variety of settings, from local to national level, for a variety of sectors and at various temporal resolutions.…”

Section: Previous Workmentioning

confidence: 99%

The impact of CHP (combined heat and power) planning restrictions on the efficiency of urban energy systems

Keirstead

Samsatli

Shah

et al. 2012

Energy

102

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Cities account for approximately two-thirds of global primary energy consumption and have large heat and power demands. Combined heat and power (CHP) systems offer significant primary energy efficiency gains and emissions reductions, but they can have high upfront investment costs and create nuisance pollution within the urban environment. Urban planners therefore need to understand the tradeoffs between limitations on CHP plant size and the performance of the overall energy system. This paper uses a mixed-integer linear programming model to evaluate urban energy system designs for a range of city sizes and technology scenarios. The results suggest that the most cost-effective and energy-efficient scenarios require a mix of technology scales including CHP plants of appropriate size for the total urban demand. For the cities studied here (less than 200000 people), planning restrictions that prevent the use of CHP technologies could lead to total system cost penalties of 2% (but with significantly different cost structures) and energy-efficiency penalties of up to 24% when measured against a boiler-only business-as-usual case.

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“…For optimally identifying heat and power generating strategies in an industrial factory, a MILP model was proposed by Bojiae and Stojanoviae [40]. As stated by Henning, MODEST was developed based on linear programming to minimize the capital and operating costs of energy supply and demand [41]. Heyen and Kalitventzeff proposed an optimization methodology to improve energy-utilization efficiencies in processing industries [42].…”

Section: Optimization Of Energy Systems Planningmentioning

confidence: 99%

A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty

et al. 2011

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Abstract:Energy is crucial in supporting people's daily lives and the continual quest for human development. Due to the associated complexities and uncertainties, decision makers and planners are facing increased pressure to respond more effectively to a number of energy-related issues and conflicts, as well as GHG emission mitigation within the multiple scales of energy management systems (EMSs). This quandary requires a focused effort to resolve a wide range of issues related to EMSs, as well as the associated economic and environmental implications. Effective systems analysis approaches under uncertainty to successfully address interactions, complexities, uncertainties, and changing conditions associated with EMSs is desired, which require a systematic investigation of the current studies on energy systems. Systems analysis and optimization modeling for low-carbon energy systems planning with the consideration of GHG emission reduction under uncertainty is thus comprehensively reviewed in this paper. A number of related methodologies and applications related to: (a) optimization modeling of GHG emission mitigation; (b) optimization modeling of energy systems planning under uncertainty; and (c) model-based decision support tools are examined. Perspectives of effective management schemes are investigated, demonstrating many demanding areas for enhanced research efforts, which include issues of data availability and reliability, concerns in OPEN ACCESSEnergies 2011, 4 1625 uncertainty, necessity of post-modeling analysis, and usefulness of development of simulation techniques.

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MODEST—An energy-system optimisation model applicable to local utilities and countries

Cited by 98 publications

References 21 publications

Integration of biofuel production into district heating – part I: an evaluation of biofuel production costs using four types of biofuel production plants as case studies

Integration of biofuel production into district heating – part I: an evaluation of biofuel production costs using four types of biofuel production plants as case studies

The impact of CHP (combined heat and power) planning restrictions on the efficiency of urban energy systems

A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty

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