Renewable Energy and Long-Term Energy Planning

1988 ◽  
Vol 9 (3) ◽  
Author(s):  
Helene Connor-Lajambe
Keyword(s):  
Renewable Energy ◽  
Energy Planning ◽  
Term Energy

scholarly journals Growth projections against set-target of renewable energy and resultant impact on emissions reduction in India

2020 ◽  
Vol 26 (2) ◽  
pp. 200083-0 ◽  
Author(s):  
Karan Chabhadiya ◽  
Rajiv Ranjan Srivastava ◽  
Pankaj Pathak
Keyword(s):  
Renewable Energy ◽  
Sustainable Development Goals ◽  
Energy System ◽  
Energy Planning ◽  
Emissions Reduction ◽  
Term Energy ◽  
Development Goals ◽  
Paris Climate Agreement ◽  
Installed Capacity

In accordance with the Paris Climate Agreement (COP21) and Sustainable Development Goals (SDGs), India is greatly focused on deployment of renewable energy (RE) for supplementing the energy requirements of the country. The present article assesses the validity of the promises offered by RE technologies in India and its necessary action to understand the gap between setting goals and the ground situation, which can also show a pathway to other developing countries. Therefore, the long-term projection perspectives on RE growth have been made using the India Energy Security Scenario-2047. In order to achieve the set target for emissions reduction of greenhouse gases (GHGs) i.e., 1209 MT CO2e in support of SDGs to the 2005 level by 2030, three renewable growth scenarios have been tested for transitioning the Indian energy system. Accordingly, the regression analysis reveals that the most desirable growth scenario will require a steady rise of RE contribution in the overall energy mix of India by 2030 from the current ~21% to 68% of the installed capacity. In this view, the present study highlights the exploration of new alternatives in long-term energy planning, and less on one-sided scenario to achieve the emissions’ reduction target.

scholarly journals Study on the production and use of biomass energy in the Timis County

2021 ◽  
Vol 26 (2) ◽  
pp. 2434-2440
Author(s):  
CRISTINA BACĂU ◽  
◽  
NICOLETA MATEOC-SÎRB ◽  
RAMONA CIOLAC ◽  
TEODOR MATEOC ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Production ◽  
Nuclear Energy ◽  
Renewable Energy Sources ◽  
Biomass Energy ◽  
Renewable Energy Resources ◽  
Continuous Increase ◽  
Fossil Energy ◽  
Term Energy

The use of renewable energy resources is gaining more and more ground, thanks to the continuous increase in the price of fossil energy and the decrease in stocks, and the management of waste from nuclear energy production, respectively. The implementation of an energy strategy to harness the potential of renewable energy sources (RES) is part of the coordinates of Romania’s medium – and long-term energy development and provides the appropriate framework for the making of decisions on energy alternatives and the inclusion in the Community acquis in the field. In this respect, a study on the biomass potential of Timiş County and on the possibilities of producing unconventional energy from biomass has been carried out. The study is based on research, data collection from the literature, as well as from official documents or official websites, the processing and interpretation of the data and their quantitative and qualitative analysis. It was concluded that biomass is a promising renewable energy source for Romania, both in terms of potential and in terms of usability.

scholarly journals Long-Term Electricity Scenarios for the MENA Region: Assessing the Preferences of Local Stakeholders Using Multi-Criteria Analyses

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3046 ◽  
Author(s):  
Ole Zelt ◽  
Christine Krüger ◽  
Marina Blohm ◽  
Sönke Bohm ◽  
Shahrazad Far
Keyword(s):  
Renewable Energy ◽  
Energy Planning ◽  
Mena Region ◽  
Energy Technologies ◽  
Policy Goals ◽  
Local Stakeholders ◽  
Policy Objectives ◽  
Electricity Mix ◽  
Hierarchy Process

In recent years, most countries in the Middle East and North Africa (MENA), including Jordan, Morocco and Tunisia, have rolled out national policies with the goal of decarbonising their economies. Energy policy goals in these countries have been characterised by expanding the deployment of renewable energy technologies in the electricity mix in the medium term (i.e., until 2030). This tacitly signals a transformation of socio-technical systems by 2030 and beyond. Nevertheless, how these policy objectives actually translate into future scenarios that can also take into account a long-term perspective up to 2050 and correspond to local preferences remains largely understudied. This paper aims to fill this gap by identifying the most widely preferred long-term electricity scenarios for Jordan, Morocco and Tunisia. During a series of two-day workshops (one in each country), the research team, along with local stakeholders, adopted a participatory approach to develop multiple 2050 electricity scenarios, which enabled electricity pathways to be modelled using Renewable Energy Pathway Simulation System GIS (renpassG!S). We subsequently used the Analytical Hierarchy Process (AHP) within a Multi-Criteria Analysis (MCA) to capture local preferences. The empirical findings show that local stakeholders in all three countries preferred electricity scenarios mainly or even exclusively based on renewables. The findings demonstrate a clear preference for renewable energies and show that useful insights can be generated using participatory approaches to energy planning.

scholarly journals Long-Term Projection of Renewable Energy Technology Diffusion

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4261 ◽  
Author(s):  
Tadeusz Skoczkowski ◽  
Sławomir Bielecki ◽  
Joanna Wojtyńska
Keyword(s):  
Renewable Energy ◽  
Technology Diffusion ◽  
Renewable Energy Sources ◽  
Unit Cost ◽  
Learning Curves ◽  
Novel Technologies ◽  
The Future ◽  
Term Energy ◽  
The Eu

The EU aims at increasing the use of renewable energy sources (RES), mainly solar-photovoltaic (PV) and wind technologies. Projecting the future, in this respect, requires a long-term energy modeling which includes a rate of diffusion of novel technologies into the market and the prediction of their costs. The aim of this article has been to project the pace at which RES technologies diffused in the past or may diffuse in the future across the power sector. This analysis of the dynamics of technologies historically as well as in modeling, roadmaps and scenarios consists in a consistent analysis of the main parameters of the dynamics (pace of diffusion and extent of diffusion in particular markets). Some scenarios (REMIND, WITCH, WEO, PRIMES) of the development of the selected power generation technologies in the EU till 2050 are compared. Depending on the data available, the learning curves describing the expected development of PV and wind technologies till 2100 have been modeled. The learning curves have been presented as a unit cost of the power versus cumulative installed capacity (market size). As the production capacity increases, the cost per unit is reduced thanks to learning how to streamline the manufacturing process. Complimentary to these learning curves, logistic S-shape functions have been used to describe technology diffusion. PV and wind generation technologies for the EU have been estimated in time domain till 2100. The doubts whether learning curves are a proper method of representing technological change due to various uncertainties have been discussed. A critical analysis of effects of the commonly applied models for a long-term energy projection (REMIND, WITCH) use has been conducted. It has been observed that for the EU the analyzed models, despite differences in the target saturation levels, predict stagnation in the development of PV and wind technologies from around 2040. Key results of the analysis are new insights into the plausibility of future deployment scenarios in different sectors, informed by the analysis of historical dynamics of technology diffusion, using to the extent possible consistent metrics.

An Analytical Model for Evaluating Wind Turbine Types

2014 ◽  
Vol 543-547 ◽  
pp. 333-336 ◽  
Author(s):  
Amy H.I. Lee ◽  
Meng Chan Hung ◽  
W.L. Pearn ◽  
He Yau Kang
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Evaluation Model ◽  
Renewable Energy Sources ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Renewable Energy Resources ◽  
Network Process ◽  
Term Energy

With worldwide developments stressing the security, economy, human well-beings and environmental costs of relying heavily on fossil and nuclear energy, the demand of safe renewable energy resources is expanding consistently and tremendously in recent years. With its safe and environmental characteristics, wind energy production has become one of the fastest growing renewable energy sources in the world. While new wind power capacity is being added in more places in various countries, the installation of wind turbines is an important process for long-term energy generation. In this study, an evaluation model, which incorporates multiple criteria decision making (MCDM) methods, including decision making trial and evaluation laboratory (DEMATEL) and fuzzy analytic network process (FANP), is developed to establish interactive relationships between criteria. Fuzzy Yager ranking method is used for deffuzification. The final ranking of the alternatives is obtained, and this can provide decision-makers for references.

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