Education for Technology Transition Restructures Energy Systems

Author(s):  
Gilbert Ahamer

Our present world calls for peaceful transitions, given the ruptures in political cultures and the massive global threat of climate change. A transition of the energy system will and must go hand in hand with a socio-political transition. Any design of learning procedures should hence take into account real-world projects, including projects on environment, climate change and energy. This chapter suggests that diverse patterns, lenses and metrics are taken into account when educating. Such an interparadigmatic approach means to focus on multiple perceptions from diverse stakeholders. Learners should be able to bridge different viewpoints by their capacity to integrate diverse values, perspectives, and views. As a concrete case study, the cooperative negotiation game “Surfing Global Change” is used to show how these educational values can be implemented. Further analyses of literature and data on didactics, climate change and economic transitions complement this chapter.

2020 ◽  
Vol 23 ◽  
Author(s):  
Flávia Mendes de Almeida Collaço ◽  
Raiana Schirmer Soares ◽  
João Marcos Mott Pavanelli ◽  
Lira Luz Benites-Lazaro ◽  
Guilherme Massignan Berejuk ◽  
...  

Abstract This paper analyzes the historical trends in the energy supply and demand for the Macrometrópole Paulista Energy System, as well as the existing options for harnessing the renewable energy potential of the region. The research included a case study covering the 174 municipalities that belong to the macro-metropolis to characterize the energy system from 2006 to 2017 while analyzing the CO2 emissions of the system. The results indicated that, in 2017, the Paulista macro-metropolis accounted for 73% of the total energy demand of the entire state of São Paulo. Moreover, considering the energy generated from within the administrative limits of the 174 municipalities, the macro-metropolis accounted for about 17% of the total installed capacity of the state for electricity generation. This study found that the installed capacity for electricity generation in the region can be increased by ~ 112%. There so, an understanding of the local energy systems is of utmost importance for the formulation of coherent and integrated public policies, which are necessary to cope with the effects of climate change.


Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2263 ◽  
Author(s):  
Romano Wyss ◽  
Susan Mühlemeier ◽  
Claudia Binder

In this paper, we apply an indicator-based approach to measure the resilience of energy regions in transition to a case study region in Austria. The indicator-based approach allows to determine the resilience of the transition of regional energy systems towards higher shares of renewables and potentially overall higher sustainability. The indicators are based on two core aspects of resilience, diversity and connectivity. Diversity is thereby operationalized by variety, disparity and balance, whereas connectivity is operationalized by average path length, degree centrality and modularity. In order to get a full picture of the resilience of the energy system at stake throughout time, we apply the measures to four distinct moments, situated in the pre-development, take-off, acceleration and stabilization phase of the transition. By contextually and theoretically embedding the insights in the broader transitions context and empirically applying the indicators to a specific case, we derive insights on (1) how to interpret the results in a regional context and (2) how to further develop the indicator-based approach for future applications.


2019 ◽  
Vol 51 (2) ◽  
pp. 114-140 ◽  
Author(s):  
Juliette N. Rooney-Varga ◽  
Florian Kapmeier ◽  
John D. Sterman ◽  
Andrew P. Jones ◽  
Michele Putko ◽  
...  

Background. We describe and provide an initial evaluation of the Climate Action Simulation, a simulation-based role-playing game that enables participants to learn for themselves about the response of the climate-energy system to potential policies and actions. Participants gain an understanding of the scale and urgency of climate action, the impact of different policies and actions, and the dynamics and interactions of different policy choices. Intervention. The Climate Action Simulation combines an interactive computer model, En-ROADS, with a role-play in which participants make decisions about energy and climate policy. They learn about the dynamics of the climate and energy systems as they discover how En-ROADS responds to their own climate-energy decisions. Methods. We evaluated learning outcomes from the Climate Action Simulation using pre- and post-simulation surveys as well as a focus group. Results. Analysis of survey results showed that the Climate Action Simulation increases participants’ knowledge about the scale of emissions reductions and policies and actions needed to address climate change. Their personal and emotional engagement with climate change also grew. Focus group participants were overwhelmingly positive about the Climate Action Simulation, saying it left them feeling empowered to make a positive difference in addressing the climate challenge. Discussion and Conclusions. Initial evaluation results indicate that the Climate Action Simulation offers an engaging experience that delivers gains in knowledge about the climate and energy systems, while also opening affective and social learning pathways.


2020 ◽  
Vol 52 ◽  
pp. 101843 ◽  
Author(s):  
Emeli Lalesca Aparecida da Guarda ◽  
Renata Mansuelo Alves Domingos ◽  
Stefany Hoffmann Martins Jorge ◽  
Luciane Cleonice Durante ◽  
João Carlos Machado Sanches ◽  
...  

2020 ◽  
Vol 10 (23) ◽  
pp. 8515
Author(s):  
Saif Mubaarak ◽  
Delong Zhang ◽  
Yongcong Chen ◽  
Jinxin Liu ◽  
Longze Wang ◽  
...  

Solar energy has attracted the attention of researchers around the world due to its advantages. However, photovoltaic (PV) panels still have not attained the desired efficiency and economic mature. PV tracking techniques can play a vital role in improving the performance of the PV system. The aim of this paper is to evaluate and compare the technical and economic performance of grid-connected hybrid energy systems including PV and fuel cells (FC) by applying major types of PV tracking technique. The topology and design principles and technical description of hybrid system components are proposed in this paper. Moreover, this paper also introduces economic criteria, which are used to evaluate the economy of different PV tracking techniques and seek the optimal configuration of system components. In the case study, the results show that the vertical single axis tracker was ranked 1st in terms of highest PV generation, penetration of renewable energy to the grid, lowest CO2 emission, highest energy sold to the grid and lowest purchased, and lowest net present cost (NPC) and levelized cost of energy (LCOE). The study found that the optimal design of a grid-connected hybrid energy system (PV-FC) was by using a vertical single axis tracker which has the lowest NPC, LCOE.


2019 ◽  
Vol 67 (11) ◽  
pp. 893-903
Author(s):  
Arash Shahbakhsh ◽  
Astrid Nieße

Abstract Information and communication technology (ICT) and the technology of coupling points including power-to-gas (PtG), power-to-heat (PtH) and combined heat and power (CHP) reshape future energy systems fundamentally. To study the resulting multimodal smart energy system, a proposed method is to separate the behavior of the component layer from the control layer. The component layer includes pipelines, power-lines, generators, loads, coupling points and generally all components through which energy flows. In the work at hand, a model is presented to analyze the operational behavior of the component layer. The modeling problem is formulated as state and phase transition functions, which present the external commands and internal dynamics of system. Phase transition functions are approximated by ordinary differential equations, which are solved with integral methods. State transition functions are nonlinear algebraic functions, which are solved numerically and iteratively with a modified Newton–Raphson method. In a proof-of-concept case study, a scenario shows the expected multi-sector effects based on evaluated models.


2021 ◽  
Author(s):  
Namrata Ginoya ◽  
Harsha Meenawat ◽  
Amala Devi ◽  
Pamli Deka ◽  
Bharath Jairaj

Climate change can affect the level and type of demand for electricity for development service delivery. Extreme events associated with climate change can disrupt the existing electricity supply, leading to demand for alternate or backup electricity sources. Communities rely on electrically powered activities to respond to conditions caused or exacerbated by climate change. Finally, electricity is required for ongoing activities that can potentially build long-term capacities to cope with climate-related events. Effective decentralized solar solutions in climate vulnerable regions must be tailored to local conditions. Energy systems must be designed to meet context-specific electricity demand, based on local geography, the availability of supportive infrastructure, and end-use requirements. For example, planning for the design, installation, and maintenance of a decentralized solar energy system in a flood-prone char island school is very different from that in a lightning-prone mainland school, even if both schools fall under the same government program. Decentralized solar energy systems are not entirely climate proof. Components of decentralized solar solutions are vulnerable to climate-related events such as floods, lightning, extreme temperature, and rainfall. Understanding and planning for the climate risks in advance can help reduce downtime, loss of assets, and build resilience. Resilience planning starts before the design stage and continues thereafter. Project implementers, policymakers, and donors need to realize that building resilient structures and communities begins well before the design stage. System design and operation and maintenance planning should be based on climate-risk data and models, local socioeconomic and ecosystem assessments, policies, and design standards that promote and enforce resilient infrastructure and support community resilience. Technology is just one component of a climate resilient decentralized solar installation. Organizational arrangements need to incorporate climate considerations while setting expectations and assigning roles and responsibilities. Climate resilient design needs to also translate into the funding plan, with innovative financing and risk hedging models. There is a need to go beyond conventional implementation models. Traditional implementation models have specific, often siloed responsibilities. The uncertainty created by climate change requires all stakeholders to be more flexible and responsive and demands more innovative implementation, operation, and maintenance models. Examples include energy and development partners working together from the start, active participation and capacity building of end users and community members, and innovative financing models.


2021 ◽  
Vol 3 ◽  
Author(s):  
Bahador Samadzadegan ◽  
Soroush Samareh Abolhassani ◽  
Sanam Dabirian ◽  
Saeed Ranjbar ◽  
Hadise Rasoulian ◽  
...  

The growing urban population globally leads to higher greenhouse gas (GHG) emissions and stress on the electricity networks for meeting the increasing demand. In the early urban design stages, the optimization of the urban morphology and building physics characteristics can reduce energy demand. Local generation using renewable energy resources is also a viable option to reduce emissions and improve grid reliability. Notwithstanding, energy simulation and environmental impact assessment of urban building design strategies are usually not done until the execution planning stage. To address this research gap, a novel framework for designing energy systems for zero-carbon districts is developed. An urban building energy model is integrated with an urban energy system model in this framework. Dynamic prediction of heating and cooling demand and automatic sizing of different energy system configurations based on the calculated demands are the framework's primary capabilities. The workability of the framework has been tested on a case study for an urban area in Montreal to design and compare two different renewable energy systems comprising photovoltaic panels (PV), air-source, and ground source heat pumps. The case study results show that the urban building energy model could successfully predict the heating and cooling demands in multiple spatiotemporal resolutions, while the urban energy system model provides system solutions for achieving a zero-carbon or positive energy district.


Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6874
Author(s):  
Georg Göhler ◽  
Anna-Lena Klingler ◽  
Florian Klausmann ◽  
Dieter Spath

Intelligent integration of decentralised energy resources, local storage and direct consumption are key factors in achieving the transformation of the energy system. In this study, we present a modular simulation concept that allows the planning of decentralised energy systems for buildings and building blocks. In comparison to related studies, we use a simulation model for energy planning with a high time-resolution from the perspective of the energy system planner. In this study, we address the challenges of the grid connection in combination with an increasing number of electric vehicles (EV) in the future. The here developed model is applied for an innovative building block in Germany with a photovoltaic (PV) system, a combined heat and power (CHP) unit, battery storage and electric vehicles. The results of the simulation are validated with real-life data to illustrate the practical relevance and show that our simulation model is able to support the planning of decentralised energy systems. We demonstrate that without anticipating future electric vehicle charging, the system configurations could be sub-optimal if complete self-sufficiency is the objective: in our case study, the rate of self-sufficiency of the net-zero energy building will be lowered from 100% to 91% if considering electric vehicles. Furthermore, our simulation shows that a peak minimising operation strategy with a battery can prevent grid overloads caused by EV charging in the future. Simulating different battery operation strategies can further help to implement the most useful strategy, without interruption of the current operation.


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