TY  - CONF
AU  - Eggler, L.
AU  - Capellan-Perez, I.
AU  - De Blas, I.
AU  - Alvarez Antelo, D.
AU  - Adam, A.
AU  - Papagianni, G.
AU  - Parrado-Hernando, Gonzalo
AU  - Herc, Luka
AU  - Pulido-Sanchez, D.
AU  - De Castro, C.
AU  - Frechoso, F.
AU  - Cazcarro, I.
AU  - Arto, I.
AU  - Samso, R.
AU  - Duić, Neven
AU  - Batas Bjelić, Ilija
AU  - Pfeifer, Antun
PY  - 2023
UR  - https://dais.sanu.ac.rs/123456789/16220
AB  - WILIAM (Within Limit Integrated Assessment Model) is a global multiregional IAM that combines economic, social, demographic, environmental, energy and material related aspects into one system dynamics model. It aims to provide stakeholders with an open source, welldocumented model to assess the feasibility, effectiveness, costs and impacts of different sustainability policy options. The adequate representation of energy production is key to assess future sustainability pathways. The main function of the developed energy module is to estimate the primary energy requirements and related GHG emissions for satisfying the economic demand. This goal was achieved by 7 major sub-modules: (1) End-use: translates the economic demand into final energy demand through a hybrid approach combining bottom-up with energy intensities for different sectors. (2) Energy transformation: maps the entire energy conversion chain from final to primary energy, including intermediary energy commodities and an allocation function for power plant utilization. (3) Energy capacity: keeps track of the current power plant capacity stock, decommissioning of expired capacities, as well as the build-up of new capacities. An allocation function for choosing the suitable technology types for new capacities stands at the core of this sub-module. (4) Computation of the EROI of green technologies (5) Variability and storage: keeps track of sub-annual time scale effects on annual energy balances depending on the current power system setup (DSM, Storage, sector coupling). (6) Consideration of techno-sustainable potentials of RES considering geographical, resource and Energy Return on Energy Investment (EROI) constraints. (7) Computation of the energy-related GHG emissions.
PB  - Zagreb : Faculty of Mechanical Engineering and Naval Architecture
C3  - Book of abstracts / 18th conference on sustainable development of energy, water and environment systems, September 24-29, 2023, Dubrovnik, Croatia
T1  - Modelling the long-term dynamics of the energy transition accounting for socioeconomic behaviour and biophysical constraints: overview of the Wiliam Energy Module
SP  - 151
EP  - 151
UR  - https://hdl.handle.net/21.15107/rcub_dais_16220
ER  - 

@conference{
author = "Eggler, L. and Capellan-Perez, I. and De Blas, I. and Alvarez Antelo, D. and Adam, A. and Papagianni, G. and Parrado-Hernando, Gonzalo and Herc, Luka and Pulido-Sanchez, D. and De Castro, C. and Frechoso, F. and Cazcarro, I. and Arto, I. and Samso, R. and Duić, Neven and Batas Bjelić, Ilija and Pfeifer, Antun",
year = "2023",
abstract = "WILIAM (Within Limit Integrated Assessment Model) is a global multiregional IAM that combines economic, social, demographic, environmental, energy and material related aspects into one system dynamics model. It aims to provide stakeholders with an open source, welldocumented model to assess the feasibility, effectiveness, costs and impacts of different sustainability policy options. The adequate representation of energy production is key to assess future sustainability pathways. The main function of the developed energy module is to estimate the primary energy requirements and related GHG emissions for satisfying the economic demand. This goal was achieved by 7 major sub-modules: (1) End-use: translates the economic demand into final energy demand through a hybrid approach combining bottom-up with energy intensities for different sectors. (2) Energy transformation: maps the entire energy conversion chain from final to primary energy, including intermediary energy commodities and an allocation function for power plant utilization. (3) Energy capacity: keeps track of the current power plant capacity stock, decommissioning of expired capacities, as well as the build-up of new capacities. An allocation function for choosing the suitable technology types for new capacities stands at the core of this sub-module. (4) Computation of the EROI of green technologies (5) Variability and storage: keeps track of sub-annual time scale effects on annual energy balances depending on the current power system setup (DSM, Storage, sector coupling). (6) Consideration of techno-sustainable potentials of RES considering geographical, resource and Energy Return on Energy Investment (EROI) constraints. (7) Computation of the energy-related GHG emissions.",
publisher = "Zagreb : Faculty of Mechanical Engineering and Naval Architecture",
journal = "Book of abstracts / 18th conference on sustainable development of energy, water and environment systems, September 24-29, 2023, Dubrovnik, Croatia",
title = "Modelling the long-term dynamics of the energy transition accounting for socioeconomic behaviour and biophysical constraints: overview of the Wiliam Energy Module",
pages = "151-151",
url = "https://hdl.handle.net/21.15107/rcub_dais_16220"
}

Eggler, L., Capellan-Perez, I., De Blas, I., Alvarez Antelo, D., Adam, A., Papagianni, G., Parrado-Hernando, G., Herc, L., Pulido-Sanchez, D., De Castro, C., Frechoso, F., Cazcarro, I., Arto, I., Samso, R., Duić, N., Batas Bjelić, I.,& Pfeifer, A.. (2023). Modelling the long-term dynamics of the energy transition accounting for socioeconomic behaviour and biophysical constraints: overview of the Wiliam Energy Module. in Book of abstracts / 18th conference on sustainable development of energy, water and environment systems, September 24-29, 2023, Dubrovnik, Croatia
Zagreb : Faculty of Mechanical Engineering and Naval Architecture., 151-151.
https://hdl.handle.net/21.15107/rcub_dais_16220

Eggler L, Capellan-Perez I, De Blas I, Alvarez Antelo D, Adam A, Papagianni G, Parrado-Hernando G, Herc L, Pulido-Sanchez D, De Castro C, Frechoso F, Cazcarro I, Arto I, Samso R, Duić N, Batas Bjelić I, Pfeifer A. Modelling the long-term dynamics of the energy transition accounting for socioeconomic behaviour and biophysical constraints: overview of the Wiliam Energy Module. in Book of abstracts / 18th conference on sustainable development of energy, water and environment systems, September 24-29, 2023, Dubrovnik, Croatia. 2023;:151-151.
https://hdl.handle.net/21.15107/rcub_dais_16220 .

Eggler, L., Capellan-Perez, I., De Blas, I., Alvarez Antelo, D., Adam, A., Papagianni, G., Parrado-Hernando, Gonzalo, Herc, Luka, Pulido-Sanchez, D., De Castro, C., Frechoso, F., Cazcarro, I., Arto, I., Samso, R., Duić, Neven, Batas Bjelić, Ilija, Pfeifer, Antun, "Modelling the long-term dynamics of the energy transition accounting for socioeconomic behaviour and biophysical constraints: overview of the Wiliam Energy Module" in Book of abstracts / 18th conference on sustainable development of energy, water and environment systems, September 24-29, 2023, Dubrovnik, Croatia (2023):151-151,
https://hdl.handle.net/21.15107/rcub_dais_16220 .

TY  - CONF
AU  - Herc, Luka
AU  - Pfeifer, Antun
AU  - Parrado-Hernando, Gonzalo
AU  - Capellan-Perez, I.
AU  - Batas Bjelić, Ilija
AU  - Eggler, L.
AU  - Duić, Neven
PY  - 2023
UR  - https://dais.sanu.ac.rs/123456789/16217
AB  - This research presents the results of energy transition pathways in the different world regions. These regions are differentiated in the aspects of the availability of resources, different demand levels and distributions as well the different hourly distributions of the availability of renewable energy. Also, the differences in the regions are presented throughout different energy transition policies that are implemented. In order to model the specifics of interactions between the renewable energy generation and power to X technologies, the process of interlinking the outputs from EnergyPLAN simulations with the WILIAM (Within Limit Integrated Assessment Model) was developed. The ranges of simulations are run in EnergyPLAN and the method of regression is used to create simple relations between input and output values. Furthermore, an additional step of input data normalization was developed to speed-up the process of conducting the simulations. The research focusses on the differences in the resulting curves for relations of the flexibility technology application levels and capacity factors of variable generation. Also, the curves resulting from regression approach are compared as well as the results of implementation in WILIAM. Preliminary results show the differences in transition pathways with the regions predominantly located in the north or south focussing more on the implementation of wind and offshore wind energy, while the regions located closer to the equator such as India opting more for solar based energy systems.
PB  - Zagreb : Faculty of Mechanical Engineering and Naval Architecture
C3  - Book of abstracts / 18th conference on sustainable development of energy, water and environment systems, September 24-29, 2023, Dubrovnik, Croatia
T1  - Modelling the long-term energy transition in different regions of the world, consideration of different region-specific data
SP  - 444
EP  - 444
UR  - https://hdl.handle.net/21.15107/rcub_dais_16217
ER  - 

@conference{
author = "Herc, Luka and Pfeifer, Antun and Parrado-Hernando, Gonzalo and Capellan-Perez, I. and Batas Bjelić, Ilija and Eggler, L. and Duić, Neven",
year = "2023",
abstract = "This research presents the results of energy transition pathways in the different world regions. These regions are differentiated in the aspects of the availability of resources, different demand levels and distributions as well the different hourly distributions of the availability of renewable energy. Also, the differences in the regions are presented throughout different energy transition policies that are implemented. In order to model the specifics of interactions between the renewable energy generation and power to X technologies, the process of interlinking the outputs from EnergyPLAN simulations with the WILIAM (Within Limit Integrated Assessment Model) was developed. The ranges of simulations are run in EnergyPLAN and the method of regression is used to create simple relations between input and output values. Furthermore, an additional step of input data normalization was developed to speed-up the process of conducting the simulations. The research focusses on the differences in the resulting curves for relations of the flexibility technology application levels and capacity factors of variable generation. Also, the curves resulting from regression approach are compared as well as the results of implementation in WILIAM. Preliminary results show the differences in transition pathways with the regions predominantly located in the north or south focussing more on the implementation of wind and offshore wind energy, while the regions located closer to the equator such as India opting more for solar based energy systems.",
publisher = "Zagreb : Faculty of Mechanical Engineering and Naval Architecture",
journal = "Book of abstracts / 18th conference on sustainable development of energy, water and environment systems, September 24-29, 2023, Dubrovnik, Croatia",
title = "Modelling the long-term energy transition in different regions of the world, consideration of different region-specific data",
pages = "444-444",
url = "https://hdl.handle.net/21.15107/rcub_dais_16217"
}

Herc, L., Pfeifer, A., Parrado-Hernando, G., Capellan-Perez, I., Batas Bjelić, I., Eggler, L.,& Duić, N.. (2023). Modelling the long-term energy transition in different regions of the world, consideration of different region-specific data. in Book of abstracts / 18th conference on sustainable development of energy, water and environment systems, September 24-29, 2023, Dubrovnik, Croatia
Zagreb : Faculty of Mechanical Engineering and Naval Architecture., 444-444.
https://hdl.handle.net/21.15107/rcub_dais_16217

Herc L, Pfeifer A, Parrado-Hernando G, Capellan-Perez I, Batas Bjelić I, Eggler L, Duić N. Modelling the long-term energy transition in different regions of the world, consideration of different region-specific data. in Book of abstracts / 18th conference on sustainable development of energy, water and environment systems, September 24-29, 2023, Dubrovnik, Croatia. 2023;:444-444.
https://hdl.handle.net/21.15107/rcub_dais_16217 .

Herc, Luka, Pfeifer, Antun, Parrado-Hernando, Gonzalo, Capellan-Perez, I., Batas Bjelić, Ilija, Eggler, L., Duić, Neven, "Modelling the long-term energy transition in different regions of the world, consideration of different region-specific data" in Book of abstracts / 18th conference on sustainable development of energy, water and environment systems, September 24-29, 2023, Dubrovnik, Croatia (2023):444-444,
https://hdl.handle.net/21.15107/rcub_dais_16217 .

TY  - CONF
AU  - Parrado-Hernando, Gonzalo
AU  - Pfeifer, Antun
AU  - Herc, Luka
AU  - Gjorgievski, Vladimir
AU  - Batas-Bjelić, Ilija
AU  - Duić, Neven
AU  - Frechoso, Fernando
AU  - Miguel González, Luis Javier
AU  - Capellán-Perez, Iñigo
PY  - 2021
UR  - https://dais.sanu.ac.rs/123456789/12290
AB  - Working on holistic approaches that aim to capture a wide range of knowledge, researchers are usually faced with phenomena characterized by different time and geographical scales. This is the case of energy systems and Integrated Assessment Models (IAMs). More specifically, the nature of the variable renewable energy supply (VRES) has traditionally posed a barrier to accurately capturing the effects inflicted by VRES in the energy system. This research provides a soft link between an energy system model running with an hourly time step, on the one hand, and a yearly-based IAM, on the other hand, by the implementation of an emulator. The proposal here presented is a bridge, based on different types of knowledge, which successfully allows the flow of information between time scales. Results achieve a 100% renewable energy system on a case of Bulgaria. After a brief literature review on the topic, the method is explained in detail, including some results between EnergyPLAN (energy system model) and MEDEAS (Integrated Assessment Model, IAM) for Bulgaria. Results show that the ability of assessment is notably increased from the previous MEDEAS version. Finally, both results and limitations of this method are discussed. The authors hope this article captures interest in the field of IAMs, especially those which address with energy transition studies.
PB  - Zagreb : SDEWES
C3  - Proceedings of 16th Conference on Sustainable Development of Energy, Water and Environment Systems – SDEWES
T1  - Modelling of 100% Renewable Energy Systems in Integrated Assessment Models by multi-timeframe regression analysis
SP  - 0128
UR  - https://hdl.handle.net/21.15107/rcub_dais_12290
ER  - 

@conference{
author = "Parrado-Hernando, Gonzalo and Pfeifer, Antun and Herc, Luka and Gjorgievski, Vladimir and Batas-Bjelić, Ilija and Duić, Neven and Frechoso, Fernando and Miguel González, Luis Javier and Capellán-Perez, Iñigo",
year = "2021",
abstract = "Working on holistic approaches that aim to capture a wide range of knowledge, researchers are usually faced with phenomena characterized by different time and geographical scales. This is the case of energy systems and Integrated Assessment Models (IAMs). More specifically, the nature of the variable renewable energy supply (VRES) has traditionally posed a barrier to accurately capturing the effects inflicted by VRES in the energy system. This research provides a soft link between an energy system model running with an hourly time step, on the one hand, and a yearly-based IAM, on the other hand, by the implementation of an emulator. The proposal here presented is a bridge, based on different types of knowledge, which successfully allows the flow of information between time scales. Results achieve a 100% renewable energy system on a case of Bulgaria. After a brief literature review on the topic, the method is explained in detail, including some results between EnergyPLAN (energy system model) and MEDEAS (Integrated Assessment Model, IAM) for Bulgaria. Results show that the ability of assessment is notably increased from the previous MEDEAS version. Finally, both results and limitations of this method are discussed. The authors hope this article captures interest in the field of IAMs, especially those which address with energy transition studies.",
publisher = "Zagreb : SDEWES",
journal = "Proceedings of 16th Conference on Sustainable Development of Energy, Water and Environment Systems – SDEWES",
title = "Modelling of 100% Renewable Energy Systems in Integrated Assessment Models by multi-timeframe regression analysis",
pages = "0128",
url = "https://hdl.handle.net/21.15107/rcub_dais_12290"
}

Parrado-Hernando, G., Pfeifer, A., Herc, L., Gjorgievski, V., Batas-Bjelić, I., Duić, N., Frechoso, F., Miguel González, L. J.,& Capellán-Perez, I.. (2021). Modelling of 100% Renewable Energy Systems in Integrated Assessment Models by multi-timeframe regression analysis. in Proceedings of 16th Conference on Sustainable Development of Energy, Water and Environment Systems – SDEWES
Zagreb : SDEWES., 0128.
https://hdl.handle.net/21.15107/rcub_dais_12290

Parrado-Hernando G, Pfeifer A, Herc L, Gjorgievski V, Batas-Bjelić I, Duić N, Frechoso F, Miguel González LJ, Capellán-Perez I. Modelling of 100% Renewable Energy Systems in Integrated Assessment Models by multi-timeframe regression analysis. in Proceedings of 16th Conference on Sustainable Development of Energy, Water and Environment Systems – SDEWES. 2021;:0128.
https://hdl.handle.net/21.15107/rcub_dais_12290 .

Parrado-Hernando, Gonzalo, Pfeifer, Antun, Herc, Luka, Gjorgievski, Vladimir, Batas-Bjelić, Ilija, Duić, Neven, Frechoso, Fernando, Miguel González, Luis Javier, Capellán-Perez, Iñigo, "Modelling of 100% Renewable Energy Systems in Integrated Assessment Models by multi-timeframe regression analysis" in Proceedings of 16th Conference on Sustainable Development of Energy, Water and Environment Systems – SDEWES (2021):0128,
https://hdl.handle.net/21.15107/rcub_dais_12290 .