Evaluation of GHG Emission Reduction Potentials of PV System Considering Power Mix Shifts

Fukushima, Yasuhiro; Kuo, Yu Ming

doi:10.1061/(asce)0733-9402(2008)134:2(58)

Cited by 11 publications

(6 citation statements)

References 3 publications

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“…61 Operation of energy technologies is affected by regulation, transmission and storage capacity, among other things. 62,63 Additional constraints may be further incorporated into the general TCM framework.…”

Section: ■ Discussionmentioning

confidence: 99%

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Stochastic Technology Choice Model for Consequential Life Cycle Assessment

Kätelhön

Bardow

Suh

2016

Environ. Sci. Technol.

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Discussions on Consequential Life Cycle Assessment (CLCA) have relied largely on partial or general equilibrium models. Such models are useful for integrating market effects into CLCA, but also have well-recognized limitations such as the poor granularity of the sectoral definition and the assumption of perfect oversight by all economic agents. Building on the Rectangular-Choice-of-Technology (RCOT) model, this study proposes a new modeling approach for CLCA, the Technology Choice Model (TCM). In this approach, the RCOT model is adapted for its use in CLCA and extended to incorporate parameter uncertainties and suboptimal decisions due to market imperfections and information asymmetry in a stochastic setting. In a case study on rice production, we demonstrate that the proposed approach allows modeling of complex production technology mixes and their expected environmental outcomes under uncertainty, at a high level of detail. Incorporating the effect of production constraints, uncertainty, and suboptimal decisions by economic agents significantly affects technology mixes and associated greenhouse gas (GHG) emissions of the system under study. The case study also shows the model's ability to determine both the average and marginal environmental impacts of a product in response to changes in the quantity of final demand.

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Section: ■ Discussionmentioning

confidence: 99%

“…Chemical industries, for example, may be constrained in the use of certain chemicals imposing material health risks . Operation of energy technologies is affected by regulation, transmission and storage capacity, among other things. , Additional constraints may be further incorporated into the general TCM framework.…”

Section: Discussionmentioning

confidence: 99%

Stochastic Technology Choice Model for Consequential Life Cycle Assessment

Kätelhön

Bardow

Suh

2016

Environ. Sci. Technol.

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“…For each 1 MWh Romania mix, at the level of the year 2016, the conversion factor was estimated at 306 kgCO 2 eq/MWh [47]. Considering that PV panels produce electricity with zero GHG emissions [48], the greenhouse gas emissions reduction can be determined with the following formula: GHG emissions reduction = 1114 × 306 = 341 tCO 2 eq/year.…”

Section: Estimation Of the Influence Of Fpv On Water Quality And Of Co 2 Emissions Reductionsmentioning

confidence: 99%

FPV for Sustainable Electricity Generation in a Large European City

et al. 2021

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There is a huge interest worldwide related to continuously increasing the use of renewable energy sources (RES) for electricity generation. Romania, at this moment, even though it has to attain a share of 30.7% of RES from total energy consumption by 2030, does not have any major investment project of this kind in the near future. Photovoltaic (PV) is one of the most promising technologies, with decreasing prices for PV panels but with the disadvantage of large, needed surfaces. This study presents a solution to install PV panels where there is a need for electricity, in a large city, by using the surface of a reservoir. “Lacul Morii” Reservoir in Bucharest is the choice for the case study. The insolation and the possibility to install floating PV, as well as electricity generation, benefits for water quality and carbon dioxide (CO2) emissions reduction are assessed, and even the installation of charging stations for electric bikes and cars. The results are very promising, and the main conclusion is that, after its realization, the floating photovoltaic (FPV) plant on “Lacul Morii” Reservoir will be a source of clean electricity and a demonstration project on how to benefit from solar energy to produce electricity in large cities where there are reservoirs.

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“…The emission inventory including cradle-to-gate of power in Taiwan is calculated as 0.715 kg CO 2 e/kWh. To calculate this value, the Taiwanese power structure is taken into account (Fukushima and Kuo 2008). …”

Section: (A) Wind Energy + Water Electrolysismentioning

confidence: 99%

A graphical representation for consequential life cycle assessment of future technologies—Part 2: two case studies on choice of technologies and evaluation of technology improvements

Chen

Fukushima

Kikuchi

et al. 2011

Int J Life Cycle Assess

Self Cite

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Purpose To construct future visions of how innovative technologies should be used in the envisioned sustainable society while being aware of system-wide environmental impacts, consequential life cycle assessment (c-LCA) is useful. To systematically evaluate the technologies being aware of uncertainties in the choice of technologies made in the future, in this article, we propose a novel graphical representation for theoretical range of impacts that contain results from c-LCA studies. This approach allows analyses of the consequences of technology introduction without conducting a detailed modeling of consequences. Methods We stand on an assumption that the future environmental impacts reduced by a new technology depends on (1) how much the efficiency of the technology is improved, (2) how much of the less efficient technology is directly and indirectly replaced by the new technology, and (3) how much product is needed in the envisioned future. The difficulty in c-LCA is that (2) and (3) are uncertain from various socioeconomic reasons that are often difficult to predict. By organizing the results from product life cycle assessments in a systematic way, the proposed methodology allows exhibiting the range of consequential changes in environmental impact associated with a technology innovation, taking into account those uncertainties on a plain coordinated by the amount of product needed in the future and environmental impact on the horizontal and vertical axes, respectively. Results Part 1 describes the methodological framework in detail, whereas Part 2 elaborates on the applications of the methodology. By taking transportation technologies assuming various energy sources in Taiwan, the choices of technologies and the evaluation of technology improvements serve as the case studies to demonstrate the application of the methodological framework. Conclusions By using the proposed method to organize the assumptions in c-LCA, discussions on different choices of technologies are made more systematic. In this way, stakeholders can focus on visions of future society, which lead to different choices of technologies.

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Evaluation of GHG Emission Reduction Potentials of PV System Considering Power Mix Shifts

Cited by 11 publications

References 3 publications

Stochastic Technology Choice Model for Consequential Life Cycle Assessment

Stochastic Technology Choice Model for Consequential Life Cycle Assessment

FPV for Sustainable Electricity Generation in a Large European City

A graphical representation for consequential life cycle assessment of future technologies—Part 2: two case studies on choice of technologies and evaluation of technology improvements

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