NICOLI, MATTEO
NICOLI, MATTEO
Dipartimento Energia
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Risultati 1 - 4 di 4 (tempo di esecuzione: 0.006 secondi).
A dynamic accounting method for CO2 emissions to assess the penetration of low-carbon fuels: application to the TEMOA-Italy energy system optimization model
2023 Colucci, Gianvito; Lerede, Daniele; Nicoli, Matteo; Savoldi, Laura
Analysis of the possible contribution of different nuclear fusion technologies to the global energy transition
2023 Lerede, D.; Nicoli, M.; Savoldi, L.; Trotta, A.
Can We Rely on Open-Source Energy System Optimization Models? The TEMOA-Italy Case Study
2022 Nicoli, Matteo; Gracceva, Francesco; Lerede, Daniele; Savoldi, Laura
Projection of Post-Pandemic Italian Industrial Production through Vector AutoRegressive Models
2021 Oliva, Antonio; Gracceva, Francesco; Lerede, Daniele; Nicoli, Matteo; Savoldi, Laura
Citazione | Data di pubblicazione | Autori | File |
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A dynamic accounting method for CO2 emissions to assess the penetration of low-carbon fuels: application to the TEMOA-Italy energy system optimization model / Colucci, Gianvito; Lerede, Daniele; Nicoli, Matteo; Savoldi, Laura. - In: APPLIED ENERGY. - ISSN 0306-2619. - ELETTRONICO. - 352:(2023). [10.1016/j.apenergy.2023.121951] | 1-gen-2023 | Colucci, GianvitoLerede, DanieleNicoli, MatteoSavoldi, Laura | - |
Analysis of the possible contribution of different nuclear fusion technologies to the global energy transition / Lerede, D.; Nicoli, M.; Savoldi, L.; Trotta, A.. - In: ENERGY STRATEGY REVIEWS. - ISSN 2211-467X. - 49:(2023). [10.1016/j.esr.2023.101144] | 1-gen-2023 | D. LeredeM. NicoliL. Savoldi + | 1-s2.0-S2211467X23000949-main.pdf |
Can We Rely on Open-Source Energy System Optimization Models? The TEMOA-Italy Case Study / Nicoli, Matteo; Gracceva, Francesco; Lerede, Daniele; Savoldi, Laura. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 15:18(2022), p. 6505. [10.3390/en15186505] | 1-gen-2022 | Nicoli, MatteoLerede, DanieleSavoldi, Laura + | energies-15-06505-v3.pdf |
Projection of Post-Pandemic Italian Industrial Production through Vector AutoRegressive Models / Oliva, Antonio; Gracceva, Francesco; Lerede, Daniele; Nicoli, Matteo; Savoldi, Laura. - In: ENERGIES. - ISSN 1996-1073. - 14:17(2021), p. 5458. [10.3390/en14175458] | 1-gen-2021 | Oliva, AntonioLerede, DanieleNicoli, MatteoSavoldi, Laura + | energies-14-05458.pdf |