Renewable energy production and demand dataset for the energy system of Colombia

During the last decades, an increasing number of studies have focused their attention on the development of energy system models in order to facilitate sustainable energy planning strategies and understand the technical challenges associated with the integration of renewable energy sources. However, these models usually require detailed and large amount of data as inputs. The data presented in this article provides key inputs and modelling assumptions adopted in the research paper titled “Large scale integration of renewable energy sources (RES) in the future Colombian energy system” [1]. These datasets can be used by researchers and policymakers in order to analyse different pathways oriented to the development of low carbon strategies for Colombia and countries with similar energy systems

Large-scale integration of renewable energy sources in the future energy system of Colombia

In recent years, governments around the world have been increasing their attention on energy supply policies. These policies are focused towards three main energy goals that define the energy trilemma: security of supply, affordability and environmental sustainability. In the case of Colombia, the diversification of the energy mix including larger shares of renewable energy sources (RES) is a significant part of the national energy strategy towards a sustainable and more secure energy system. Historically, the country has relied on the intensive use of hydropower and fossil fuels as the main energy sources. Colombia has a huge renewables potential, and therefore the exploration of different pathways for their integration is required. The aim of this study is to assess the integration of variable renewable technologies and flexibility options into national energy systems by analysing future scenarios (towards 2030 and 2040). EnergyPLAN was the modelling tool employed for building the country’s model and simulate the reference year scenario and future alternatives. The study was divided in three research topics for its analysis: initially, the impacts of increasing shares of variable renewable sources in the energy system towards 2030 were analysed using five alternatives scenarios. Subsequently, a techno-economic optimisation was performed in order to assess the combined effects of large-scale energy storage and cross-border interconnections in the power system. Finally, the impact of road transport electrification in supporting the energy transition in the longer term (2040) was evaluated for the national system. The results showed that an increase in the shares of wind, solar and bioenergy combined with energy storage, electric vehicles and a strong interconnected market could achieve significant reductions in CO2 emissions and savings in the total fuel consumption of the country. The results of this work will be of much assistance to policymakers that are developing a roadmap towards low carbon energy systems in Colombia and other countries with similar potential and characteristics

Techno-economic benefits of grid-scale energy storage in future energy systems

The increasing penetration of renewable energy sources in the power sector represents an important challenge for energy systems due to their elevated intermittency. Energy storage constitutes a key component for its ability to add flexibility to the system allowing further integration of these renewable sources. Therefore, the aim of this study is to analyse the impact of grid-scale energy storage in a hydro dominated power system with increasing renewable generation shares. The Colombian energy system is used as a case study. The model used in this work is built using the EnergyPLAN tool and validated against actual data. Successively, the techno-economic effects of large-scale energy storage technologies are assessed on three different future scenarios for the year 2030. The results evidence that increasing levels of storage could allow significant reductions in both the curtailed energy and the total fuel consumption of the country. The best-case scenario shows an estimated 67% reduction in the emission intensity of the power sector by 2030 compared to the baseline scenario

Large scale integration of renewable energy sources (RES) in the future Colombian energy system

The diversification of the energy matrix, including larger shares of Renewable Energy Sources (RES), is a significant part of the Colombian energy strategy towards a sustainable and more secure energy system. Historically, the country has relied on the intensive use of hydropower and fossil fuels as the main energy sources. Colombia has a huge renewables potential, and therefore the exploration of different pathways for their integration is required. The aim of this study was to build a model for a country with a hydro-dominated electric power system and analyse the impacts of integrated variable RES in long-term future scenarios. EnergyPLAN was the modelling tool employed for simulating the reference year and future alternatives. Initially, the reference model was validated, and successively five different scenarios were built. The results show that an increase in the shares of wind, solar and bioenergy could achieve an approximate reduction of 20% in both the CO2 emissions and the total fuel consumption of the country by 2030. Further, in the electricity sector the best-case scenario could allow an estimated 60% reduction in its emission intensity

Data on electricity demand and renewable energy production for the Colombian energy system

Data produced for the analysis and development of a high temporal resolution model for the Colombian energy system. The information presented here was collected from international agencies and domestic organisations (SIEL, XM, IEA, UPME, ACOLGEN, IDEAM) and finally filtered and processed. It includes electricity hourly demand data from 2012-2016, natural water inflows time series, renewable energy sources (RES) production distributions and energy exports and imports

Data of modelling tools for energy planning

Data of different modelling tools for energy planning. This information can be used by the scientific community, policymakers, and modellers interested in national or local energy planning. The data presented here was collected from the literature using a systematic approach (PRISMA). It includes a description and classification of the most commonly used energy modelling tools according to the following characteristics: general purposes, specific purposes, analytical approach, underlying methodology, mathematical approach, geographical coverage, time horizon, time resolution, sector coverage, renewable technologies, modelling tool accessibility and appearance in literature.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Data on electricity demand and renewable energy production for the Colombian energy system

Data produced for the analysis and development of a high temporal resolution model for the Colombian energy system. The information presented here was collected from international agencies and domestic organisations (SIEL, XM, IEA, UPME, ACOLGEN, IDEAM) and finally filtered and processed. It includes electricity hourly demand data from 2006-2016, natural water inflows time series, renewable energy sources (RES) production distributions and energy exports and imports

Data of tools for modelling energy systems

In recent years, there has been continuous growth in the development and use of energy modelling tools for exploring and defining strategies that could allow a smooth transition towards decarbonised and sustainable energy systems. These models are required in order to quantify the impacts of this transition and define potential pathways due to the complexity of the interactions between different energy vectors, including renewable energy sources and their intermittency. This information can be used by the scientific community, policymakers, and modellers interested in national or local energy planning. The data presented here describe 62 energy modelling tools and their classification according to different criteria defined by the authors. It was collected from the literature through a systematic review (PRISMA). It includes a description and classification of the most commonly used energy modelling tools according to the following categories: general purposes, specific purposes, analytical approach, underlying methodology, mathematical approach, geographical coverage, time horizon, time resolution, sector coverage, renewable technologies, modelling tool accessibility and appearance in literature.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Data of tools for modelling energy systems

Data of different tools for modelling energy systems. This information can be used by the scientific community, policymakers, and modellers interested in national or local energy planning. The data presented here was collected from the literature through a systematic review (PRISMA). It includes a description and classification of the most commonly used energy modelling tools according to the following categories: general purposes, specific purposes, analytical approach, underlying methodology, mathematical approach, geographical coverage, time horizon, time resolution, sector coverage, renewable technologies, modelling tool accessibility and appearance in literature.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

The role of energy storage and cross-border interconnections for increasing the flexibility of future power systems: the case of Colombia

The rapid expansion of renewable energy technologies in the electricity sector introduces new significant challenges for power systems due to their high intermittency. Therefore, more flexibility is needed to ensure that the system can operate reliably and cost-effectively with large shares of variable renewable energy sources (RES). Electricity energy storage and cross-border interconnections are considered two key components for allowing further integration of these sources. Therefore, the aim of this study is to analyse the techno-economic effects of grid-scale electricity storage and interconnections in the integration of variable RES by using the power system of Colombia as a case study. The EnergyPLAN tool was used for building the reference system model and future scenarios. Initially, the technical impacts of electricity storage and interconnections in the power system were examined. Successively, a multi-objective evolutionary algorithm (MOEA) was applied to perform a techno-economic optimisation and identify a set of optimal configurations. The results evidenced that increasing levels of storage and interconnections could allow further penetration of variable RES, achieving total annual electricity production levels of approximately 96.8%. Further, significant reductions in both the fuel consumption and CO2 emissions might permit an emission factor of the power sector of approximately 26.5 gCO2e/kWh