Browsing by Author "Ingham, D."

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Large scale integration of renewable energy sources (RES) in the future Colombian energy system
(Elsevier Ltd, 2019) Pupo-Roncallo O.; Campillo Jiménez, Javier Eduardo; Ingham, D.; Hughes K.; Pourkashanian M.
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. © 2019 Elsevier Ltd
Renewable energy production and demand dataset for the energy system of Colombia
(Elsevier Inc., 2020) Pupo-Roncallo O.; Campillo Jiménez, Javier Eduardo; Ingham, D.; Hughes K.; Pourkashanian M.
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. © 2019 The Author(s)
The role of energy storage and cross-border interconnections for increasing the flexibility of future power systems : the case of Colombia
(2021-04-20) Pupo-Roncallo, O.; Campillo Jiménez, Javier Eduardo; Ingham, D.; Ma, L.; Pourkashanian, M.
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