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This paper describes a multi-criterion decision-making approach for optimal off-shore wind location assessment by including fuzzy geographical information systems to prioritize the different locations and alternatives. The multi-objective framework involves a variety of elements, such as climatic, geographic, social, environmental, location, and economic factors. The proposed decision-making solution is based on a multicriteria evaluation method divided into two steps: an analytic hierarchy process and a prioritization of the alternatives in comparison to a parallel approach based on a fuzzy geographical information system solution. The Gulf of Maine (USA) is considered as a case example, owing to the relevant offshore wind potential of such an area. A descriptive statistical evaluation of the wind resource was previously carried out to characterize this area with wind speed field measurements for 10 years (2010–2019). A design proposal for a 1 GW offshore wind power plant is used in a case study based on a 15 MW variable speed wind turbine prototype recently proposed by the IEA Wind Task 37. The results include prioritization of optimal offshore wind power plant sites, levelized cost of electricity estimation, and avoided emissions in comparison to traditional supply side scenarios, mainly based on fossil fuel generation units.

The integration of renewables into power systems is a key transformation for mitigating climate change and reducing fossil-fuel dependence. Among the different resources, wind participation has become crucial in recent decades—both onshore and offshore wind power plants. However, assuming the useful life of the wind turbines at approximately 20 years, different solutions should be discussed to overcome the turbine’s aging problem. In the coming years, some countries within the wind sector will face the decision of partially or totally repowering or dismantling their turbines. This paper reviews different repowering strategies and contributions from a multifactorial perspective. A set of categories is defined by the authors and those multifactorial parameters are then classified according to such categories: technical, economic, environmental, social, and political. From each category, the most relevant factors to be considered for repowering decision-making purposes are identified and discussed. According to the specific literature, more than 90% of the reviewed contributions are focused on onshore wind power plant repowering actions. This percentage is in line with onshore and offshore wind generation units installed in recent decades. The reviewed studies show that Germany has a major number of contributions. Regarding offshore repowering strategies, all contributions propose a multifactorial analysis, in contrast to onshore repowering strategies where only 68% of the authors carry out a multifactorial analysis. The revised repowering methodologies and the categorization of factors can also be used by the repowering market, as a useful tool in the near future.

Energy transition requires actions from different sectors and levels, mainly focused on achieving a low-carbon and high-renewable integration society. Among the different sectors, the transport sector is responsible for more than 20% of global greenhouse gas emissions, mostly emitted in cities. Therefore, initiatives and analysis focused on electric vehicles integration powered by renewables is currently a desirable solution to mitigate climate change and promote energy transition. Under this framework, this paper proposes a multi-indicator analysis for the estimation of CO2 emissions combining renewable integration targets, reduction emission targets and realistic renewable resource potentials. Four scenarios are identified and analyzed: (i) current situation with conventional vehicles, (ii) replacement of such conventional by electric vehicles without renewable integration, (iii) and (iv) integration of renewables to fulfill emission reduction targets for 2030 and 2050 respectively. The analysis is evaluated in the state of Maine (United States). From the results, a minimum renewable penetration of 39% and 82%, respectively, is needed to fulfill the emission reduction targets for 2030 and 2050 by considering 100% conventional vehicle replacement. Different combinations of available renewable resources can reduce emissions by more than 35%.

Nowadays, it can be assured that climate change represents an environmental danger for the planet with irreparable and unpredictable consequences in case both gas emissions as well as fossil fuel dependency does not go down. Population growth and its increasingly concentration in the cities turn these areas into a major consumer of energy, mainly due to the residential and service sector in order to meet the heating and cooling demand. In this scenario of taking advanced of renewable local resources shallow geothermal energy is presented as a renewable resource that can contribute to meet this demand with high energy and gas emissions savings. In this context, this work shows the art-of-state of the energy transition to a renewable energy society in Spain by means of the use of shallow geothermal energy. It proposes a procedure to transform the current fossil fuel consumption into renewable heating and cooling by the use of Ground Source Heat Pumps (GSHP). The methodology used is based on Geographical Information Systems (GIS) and is applied in Murcia Region, Spain. Positive results concerning gas savings emissions are expected converting shallow geothermal energy as an energy transition ally.

During the last decades, both population growth and increasingly concentration in cities turn these areas into major consumers of energy, mainly due to heating and cooling energy demanded by residential and commercial sectors. In parallel, the promotion of renewables and policies aimed to decrease fossil fuel dependence and save emissions have addressed mostly solutions based on renewable energy resources. Under this scenario, this paper evaluates the feasibility of vertical Ground Source Heat Pump systems based on the spatial study of the site–specific parameters affecting their performance at a local scale. A GIS–based energy, economic and environmental multidimensional approach is then proposed to analyze the heating and cooling energy demand by considering the urban pattern and the real space available for the installations. The paper explores and compares different Borehole Heat Exchanger Ground Source Heat Pump systems by using the G.POT method applied to residential customers. Two Spanish residential locations are included as case study. From the results, geothermal resource gives highly beneficial results also for cooling energy demand, which is not usually considered in geothermal analysis. The proposed renewable system can be also evaluated from this multidimensional perspective on both commercial and tertiary sector, as well as in other locations with a diversity of heating and cooling energy demand profiles.

Wind power is widely considered to be a qualified renewable, clean, ecological and inexhaustible resource that is becoming a leader in the current energy transition process. It is a mature technology solution that was quickly developed and has been massively integrated into power systems in recent years. Indeed, a remarkable number of renewable integration policies have been promoted by different governments and countries. With the aim of maximizing the power given by wind resources, the locations of both onshore and offshore wind power plants must be optimized following a sort of different criteria. Under this scenario, a number of factors and decision criteria in the evaluation and selection of locations can be identified. Moreover, the relevant wind power increasing in the power generation mix is addressed, along with a standardization of factors and decision criteria in the optimization and selection of such optimal locations. In this context, this paper describes a systematic review and meta-analysis combining most of the contributions and studies proposed during the last decade. Thus, our aim is focused on reviewing and categorizing all factors to be considered for optimal location estimation, pointing out the differences among the selected factors and the decision criteria for onshore and offshore wind power plants. In addition, our review also includes an analysis of the representative key indicators for the contributions, such as the annual frequency of publications, geographical classification, analysis by category, evaluation method and determining factors. This work was supported by ’Ministerio de Educación, Cultura y Deporte’ of Spain (grant number FPU16/04282). This research received no external funding.