Comparative analysis of environmental impacts of maize–biogas and photovoltaics on a land use basis

Graebig, Markus; Bringezu, Stefan; Fenner, Richard

doi:10.1016/j.solener.2010.04.002

Cited by 55 publications

(20 citation statements)

References 13 publications

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“…is not available in the majority of studies published, due to the lack of trustworthy data (e.g. Graebig et al, 2010;Fruergaard et al, 2010;Kaldellis et al, 2010;Jing et al, 2012). …”

Section: Estimation Of Lca External Cost Of Electricity Generation Tementioning

confidence: 99%

Incorporating life cycle external cost in optimization of the electricity generation mix

Rentizelas

Georgakellos

2014

Energy Policy

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The present work aims to examine the strategic decision of future electricity generation mix considering, together with all other factors, the effect of the external cost associated with the available power generation technology options, not only during their operation but also during their whole life-cycle. The analysis has been performed by integrating the Life Cycle Assessment concept into a linear programming model for the yearly decisions on which option should be used to minimise the electricity generation cost. The model has been applied for the case of Greece for the years 2012-2050 and has led to several interesting results. Firstly, most of the new generating capacity should be renewable (mostly biomass and wind), while natural gas is usually the only conventional fuel technology chosen. If externalities are considered, wind energy increases its share and hydro-power replaces significant amounts of biomass-generated energy. Furthermore, a sensitivity analysis has been performed. One of the most important findings is that natural gas increases its contribution when externalities are increased. Summing-up, external cost has been found to be a significant percentage of the total electricity generation cost for some energy sources, therefore significantly changing the ranking order of cost-competitiveness for the energy sources examined.

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“…is not available in the majority of studies published, due to the lack of trustworthy data (e.g. Graebig et al, 2010;Fruergaard et al, 2010;Kaldellis et al, 2010;Jing et al, 2012). …”

Section: Estimation Of Lca External Cost Of Electricity Generation Tementioning

confidence: 99%

Incorporating life cycle external cost in optimization of the electricity generation mix

Rentizelas

Georgakellos

2014

Energy Policy

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“…The PV panel can mainly be categorized into two types by considering their materials and efficiencies: crystalline silicon and thin film [48]. The Crystalline silicon accounts for the majority of solar cell production with high efficiency.…”

Section: Selecting Key Factors Affecting System Performances Of the Pmentioning

confidence: 99%

A Process for the Implementation of New Renewable Energy Systems in a Building by Considering Environmental and Economic Effect

Kim¹,

Hong

Kim

et al. 2015

Sustainability

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Abstract:The excessive use of fossil fuels has led to global warming and air pollution. To solve these problems, interest in new renewable energy system (NRE system) has increased in recent years. In particular, photovoltaic, solar thermal heating, fuel cell and ground source heating system are actively implemented for achieving the zero energy building. Since the initial investment cost of the NRE system is quite expensive, it is necessary to conduct a feasibility study from the life cycle perspective. Therefore, this study aimed to develop the process for the implementation of NRE system in a building for the optimal design. This study was conducted with four steps: (i) establishing the basic information for the system installation; (ii) selecting key factors affecting system performances; (iii) making possible alternatives of the system installation; and (iv) selecting optimal system by considering environmental and economic effect. The proposed process could enable the final decision-maker to easily and accurately determine the optimal design of the NRE systems from the economic and environmental efficiency in the early design phase. The process could also be applied to any other NRE system and could be extended to any other country in the global environment. OPEN ACCESSSustainability 2015, 7 12871 Keywords: new renewable energy; photovoltaic system; solar thermal energy system; fuel cell system; ground source heat pump system

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“…The PV panel can mainly be categorized into two types considering their materials and efficiencies: crystalline silicon and thin film [5]. The Crystalline silicon accounts for the majority of solar cell production with high efficiency.…”

Section: Step 2: Selecting the Key Factors Affecting System Performancesmentioning

confidence: 99%

Development of the Process for Deploying Optimal Photovoltaic System

2014

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As global warming and environmental pollution become one of the widespread concerns, there is a growing interest in nearly zero energy building (NZEB) in the construction industry worldwide. In order to achieve NZEB, it is crucial to apply the new renewable energy (NRE) to the building. Among the common NREs, the solar energy is an unlimited energy source having the highest potential. However, the current process for deploying PV systems has some limitations: (i) lack of information and analysis of the target facility; (ii) lack of sensitivity analysis of key factors affecting system performances; and (iii) Lack of optimization process. This study develops the process for deploying PV system which makes it possible for potential users and installers to maximize the performance of each system. The proposed process consists of the following 4 steps: (i) establishing the basic information for the system installation; (ii) selecting key factors affecting system performances; (iii) estimating system energy output of the possible system alternatives; and (iv) selecting the optimal system through the life cycle cost (LCC) and life cycle CO 2 (LCCO 2 ) analysis. The results of this study could help potential users and installers to install a PV system in several ways: (i) maximize the financial benefit of the system; (ii) maximize the efficiency and utilization of the system; (iii) select the optimal PV system according to the target facility and the users' preference.

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Comparative analysis of environmental impacts of maize–biogas and photovoltaics on a land use basis

Cited by 55 publications

References 13 publications

Incorporating life cycle external cost in optimization of the electricity generation mix

Incorporating life cycle external cost in optimization of the electricity generation mix

A Process for the Implementation of New Renewable Energy Systems in a Building by Considering Environmental and Economic Effect

Development of the Process for Deploying Optimal Photovoltaic System

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