Econometric models for biohydrogen development

Lee, Duu-Hwa; Lee, Dong Hoon; Veziroğlu, Ayfer

doi:10.1016/j.biortech.2011.04.016

Cited by 22 publications

(11 citation statements)

References 60 publications

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“…One litre of MBM stock medium consists of 75 g of K 2 HPO 4 , 85 g of KH 2 PO 4 , 0.2 g of EDTA.2Na, 0. 28 4 .7H 2 O. The pH of the medium was adjusted to 7 before autoclaving.…”

Section: Preparation and Cultivationmentioning

confidence: 99%

Possible application of biohydrogen technologies as electricity sources in Indonesian remote areas

Susilaningsih

Sirait

Anam

et al. 2014

International Journal of Hydrogen Energy

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“…One litre of MBM stock medium consists of 75 g of K 2 HPO 4 , 85 g of KH 2 PO 4 , 0.2 g of EDTA.2Na, 0. 28 4 .7H 2 O. The pH of the medium was adjusted to 7 before autoclaving.…”

Section: Preparation and Cultivationmentioning

confidence: 99%

Possible application of biohydrogen technologies as electricity sources in Indonesian remote areas

Susilaningsih

Sirait

Anam

et al. 2014

International Journal of Hydrogen Energy

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“…One observes a rising interest globally, specifically with rega rd to new technologies in the energy sector, which mandates the development of methodologies that straddle different approaches with the purpose of bolstering the decision -making and support systems for the energy sector (Bae and Cho, 2010;Lee et al, 20 09;Lee et al, 2011). For example, in the FP6 NEEDS project (2004)(2005)(2006)(2007)(2008)(2009)), a partial European equilibrium model (NEEDS-TIMES), calibrated on one existing general equilibrium model for Europe (GEM-E3), has defined the energy scenarios in a time horizon until 2050.…”

Section: Introductionmentioning

confidence: 99%

Integrated Environmental Assessment of Future Energy Scenarios Based on Economic Equilibrium Models

et al. 2015

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The future evolution of energy supply technologies strongly depends on (and affects) the economic and environmental systems, due to the high dependency of this sector on the availability and cost of fossil fuels, especially on the small regional scale. This paper aims at presenting the modeling system and preliminary results of a research project conducted on the scale of Luxembourg to assess the environmental impact of future energy scenarios for the country, integrating outputs from partial and computable general equilibrium models within hybrid Life Cycle Assessment (LCA) frameworks.The general equilibrium model for Luxembourg, LUXGEM, is used to evaluate the economic impacts of policy decisions and other economic shocks over the time horizon 2006-2030. A techno-economic (partial equilibrium) model for Luxembourg, ETEM, is used instead to compute operation levels of various technologies t o meet the demand for energy services at the least cost along the same timeline. The future energy demand and supply are made consistent by coupling ETEM with LUXGEM so as to have the same macro-economic variables and energy shares driving both models. The coupling results are then implemented within a set of Environmentally-Extended Input-Output (EE-IO) models in historical time series to test the feasibility of the integrated framework and then to assess the environmental impacts of the country. According ly, a disaggregated energy sector was built with the different ETEM technologies in the EE -IO to allow hybridization with Life Cycle Inventory (LCI) and enrich the process detail.The results show that the environmental impact slightly decreased overall f rom 2006 to 2009. Most of the impacts come from some imported commodities (natural gas, used to produce electricity, and metalliferous ores and metal scrap). The main energy production technology is the combined-cycle gas turbine plant "Twinerg", representing almost 80% of the domestic electricity production in Luxembourg. In the hybrid EE -IO model, this technology contributes to around 7% of the total impact of the country's net consumption. The causes of divergence between ETEM and LUXGEM are also thoroug hly investigated to outline possible strategies of modeling improvements for future assessment of environmental impacts using EE-IO. Further analyses focus first on the completion of the models' coupling and its application to the defined scenarios. Once t he coupling is consistently accomplished, LUXGEM can compute the IO flows from 2010 to 2030, while the LCI processes in the hybrid system are harmonized with ETEM to represent the future domestic and imported energy technologies.

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“…The present investigation modifies and extends the model that was introduced, and utilizes a CGE, combined with the life cycle assessment (CGE-LCA) method that was developed by Refs. [37], to elucidate all the upstream and downstream industrial linkage effects and the life-cycle CO 2 emissions of the hydrogen supply chain. This study investigation uses a modified dynamic GTAP for hydrogen supply chain, combined with LCA to evaluate to the total CO 2 emissions associated with the development of a hydrogen supply chain in Japan.…”

Section: Introductionmentioning

confidence: 99%

“…Third, the computable equilibrium model (CGE) is combined with the life cycle assessment (LCA) method that was developed by Ref. [37] to simulate the CO 2 emissions by the hydrogen industry under policy conditions. With respect to scenario design, the policies instituted by Japan following the Fukushima Daiichi nuclear disaster, and new CO 2 emission mitigation targets adopted in the Warsaw Climate Change Conference (19th Conference of Parties, COP 19), under the United Nations Framework Convention on Climate Change, are considered.…”

Section: Introductionmentioning

confidence: 99%

Development and environmental impact of hydrogen supply chain in Japan: Assessment by the CGE-LCA method in Japan with a discussion of the importance of biohydrogen

Econometric models for biohydrogen development

Cited by 22 publications

References 60 publications

Possible application of biohydrogen technologies as electricity sources in Indonesian remote areas

Possible application of biohydrogen technologies as electricity sources in Indonesian remote areas

Integrated Environmental Assessment of Future Energy Scenarios Based on Economic Equilibrium Models

Development and environmental impact of hydrogen supply chain in Japan: Assessment by the CGE-LCA method in Japan with a discussion of the importance of biohydrogen

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