Volume 24 (2020): Issue 3 (November 2020) SPECIAL ISSUE OF ENVIRONMENTAL AND CLIMATE TECHNOLOGIES PART II: The Green Deal Umbrella for Environmental and Climate Technologies
Volume 24 (2020): Issue 2 (September 2020) SPECIAL ISSUE OF ENVIRONMENTAL AND CLIMATE TECHNOLOGIES PART I: The Green Deal Umbrella for Environmental and Climate Technologies
Volume 24 (2020): Issue 1 (January 2020)
Volume 23 (2019): Issue 3 (December 2019) “Special Issue of Environmental and Climate Technologies Part II: Energy, bioeconomy, climate changes and environment nexus”
Volume 23 (2019): Issue 2 (November 2019) Special Issue of Environmental and Climate Technologies Part I: Energy, bioeconomy, climate changes and environment nexus
The mainstreaming of concepts related to the Green Economy, an action-oriented approach to reach sustainable development, has increased demands for integrated models that can shed light on the complex relations existing across social, economic and environmental indicators. A gap exists, whereby our thinking is rapidly evolving, but the tools available are still in the vast majority of cases sectorial, leading to planning processes taking place in silos. To avoid the emergence of side effects, and anticipate future threats and opportunities, a more systemic approach is needed. The Green Economy Model (GEM) was created taking into account four main capitals and their interconnections: physical capital, human capital, social capital and natural capital. The application of GEM in 10 countries has shown its capability to coherently represent reality and generate results that can more effectively inform decision making.
A system dynamics model has been developed for the power sector of Mauritius, which captures a range of complex interactions between the economic, social and environmental aspects of the national economy, with deeper emphasis on the role of energy in these interactions. The model has been validated by replicating the historical trends of key development indicators, and its results were compared to the projections of the national utility company. The validation process shows that the model provides a faithful representation of the actual electricity sector of Mauritius, and can be easily adapted to the use of different assumptions. This paper describes the main characteristics of the model and its results as compared to electricity demand projections carried out by the Central Electricity Board to 2022. The results suggest that further analysis could be done to test alternative low carbon investment scenarios.
A participatory system dynamics modelling approach is advanced to support conceptualization of feedback processes underlying ecosystem services and to foster a shared understanding of leverage intervention points. The process includes systems mapping workshop and follow-up tasks aiming at the collaborative construction of causal loop diagrams. A case study developed in a natural area in Portugal illustrates how a stakeholder group was actively engaged in the development of a conceptual model depicting policies for sustaining the climate regulation ecosystem service.
When the renewable energy is used, the challenge is match the supply of intermittent energy with the demand for energy therefore the energy storage solutions should be used. This paper is dedicated to hydrogen accumulation from wind sources. The case study investigates the conceptual system that uses intermitted renewable energy resources to produce hydrogen (power-to-gas concept) and fuel (power-to-liquid concept). For this specific case study hydrogen is produced from surplus electricity generated by wind power plant trough electrolysis process and fuel is obtained by upgrading biogas to biomethane using hydrogen. System dynamic model is created for this conceptual system. The developed system dynamics model has been used to simulate 2 different scenarios. The results show that in both scenarios the point at which the all electricity needs of Latvia are covered is obtained. Moreover, the methodology of system dynamics used in this paper is white-box model that allows to apply the developed model to other case studies and/or to modify model based on the newest data. The developed model can be used for both scientific research and policy makers to better understand the dynamic relation within the system and the response of system to changes in both internal and external factors.
The mainstreaming of concepts related to the Green Economy, an action-oriented approach to reach sustainable development, has increased demands for integrated models that can shed light on the complex relations existing across social, economic and environmental indicators. A gap exists, whereby our thinking is rapidly evolving, but the tools available are still in the vast majority of cases sectorial, leading to planning processes taking place in silos. To avoid the emergence of side effects, and anticipate future threats and opportunities, a more systemic approach is needed. The Green Economy Model (GEM) was created taking into account four main capitals and their interconnections: physical capital, human capital, social capital and natural capital. The application of GEM in 10 countries has shown its capability to coherently represent reality and generate results that can more effectively inform decision making.
A system dynamics model has been developed for the power sector of Mauritius, which captures a range of complex interactions between the economic, social and environmental aspects of the national economy, with deeper emphasis on the role of energy in these interactions. The model has been validated by replicating the historical trends of key development indicators, and its results were compared to the projections of the national utility company. The validation process shows that the model provides a faithful representation of the actual electricity sector of Mauritius, and can be easily adapted to the use of different assumptions. This paper describes the main characteristics of the model and its results as compared to electricity demand projections carried out by the Central Electricity Board to 2022. The results suggest that further analysis could be done to test alternative low carbon investment scenarios.
A participatory system dynamics modelling approach is advanced to support conceptualization of feedback processes underlying ecosystem services and to foster a shared understanding of leverage intervention points. The process includes systems mapping workshop and follow-up tasks aiming at the collaborative construction of causal loop diagrams. A case study developed in a natural area in Portugal illustrates how a stakeholder group was actively engaged in the development of a conceptual model depicting policies for sustaining the climate regulation ecosystem service.
When the renewable energy is used, the challenge is match the supply of intermittent energy with the demand for energy therefore the energy storage solutions should be used. This paper is dedicated to hydrogen accumulation from wind sources. The case study investigates the conceptual system that uses intermitted renewable energy resources to produce hydrogen (power-to-gas concept) and fuel (power-to-liquid concept). For this specific case study hydrogen is produced from surplus electricity generated by wind power plant trough electrolysis process and fuel is obtained by upgrading biogas to biomethane using hydrogen. System dynamic model is created for this conceptual system. The developed system dynamics model has been used to simulate 2 different scenarios. The results show that in both scenarios the point at which the all electricity needs of Latvia are covered is obtained. Moreover, the methodology of system dynamics used in this paper is white-box model that allows to apply the developed model to other case studies and/or to modify model based on the newest data. The developed model can be used for both scientific research and policy makers to better understand the dynamic relation within the system and the response of system to changes in both internal and external factors.