Article
Ecology
O. Fullana Llinas, E. Tello Aragay, Mas Ivan Murray, G. Jover-Avella, J. Marull Lopez
Summary: This article analyzes the socioecological transition of an agroecosystem in Mallorca over a period of 150 years, from traditional organic farming to a fossil fuel-based system of agriculture. The shift in ownership of land and livestock, as well as the adoption of Green Revolution techniques, led to changes in productivity and sustainability of the agricultural system. Ultimately, the integration of agriculture into the tourist economy presented challenges to the reproduction of traditional biocultural landscapes.
ECOLOGICAL ECONOMICS
(2021)
Review
Green & Sustainable Science & Technology
David J. Murphy, Marco Raugei, Michael Carbajales-Dale, Brenda Rubio Estrada
Summary: This article introduces the concepts of net energy and Energy Return on Investment (EROI), and points out the lack of methodological consistency in various papers, leading to inaccurate comparisons across technologies. The authors provide a literature review and harmonization of EROI values to ensure accurate comparisons of thermal fuels and electricity production technologies.
Article
Multidisciplinary Sciences
Aljosa Slamersak, Giorgos Kallis, Daniel W. O' Neill
Summary: Achieving the Paris Agreement requires massive deployment of low-carbon energy, but the transition itself may consume energy and result in substantial carbon emissions. Research finds that the transition will decrease the available net energy and increase the carbon emissions from the energy system.
NATURE COMMUNICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Yi-Li Lin, Nai-Yun Zheng, Hsueh-Chien Wang
Summary: This study investigates the dewatering and reuse of activated sludge for solid biofuel. The results show that the combination of low H2O2 dose and pulse ultrasonication followed by torrefaction achieved zero-waste and promoted the release of protein and carbohydrate content in the supernatant. The biochar produced had lower greenhouse gas emissions and higher energy return on investment than burning coal. The proposed technology is environmentally and economically friendly and has potential practical applications in sludge disposal and renewable energy production.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Bartlomiej Bajan, Joanna Lukasiewicz, Agnieszka Poczta-Wajda, Walenty Poczta
Summary: The projected increase in global population necessitates an increase in food production, with a high reliance on energy. The energy return on investment (EROI) is an important indicator for energy efficiency, showing that underdeveloped regions have high EROI but insufficient food production, while highly developed regions have low EROI but strong food self-sufficiency.
Article
Agronomy
Enric Tello, Vera Sacristan, Jose R. Olarieta, Claudio Cattaneo, Joan Marull, Manel Pons, Simone Gingrich, Fridolin Krausmann, Elena Galan, Ines Marco, Roc Padro, Gloria I. Guzman, Manuel Gonzalez de Molina, Geoff Cunfer, Andrew Watson, Joshua Macfadyen, Eva Frankova, Eduardo Aguilera, Juan Infante-Amate, Alexander Urrego-Mesa, David Soto, Lluis Parcerisas, Jerome Dupras, Lucia Diez-Sanjuan, Jonathan Caravaca, Laura Gomez, Onofre Fullana, Ivan Murray, Gabriel Jover, Xavier Cusso, Ramon Garrabou
Summary: Early energy analyses of agriculture showed a decrease in energy returns on energy invested in industrial farming compared to traditional organic agricultural systems. Recent studies indicate some improvement in energy returns due to efficiency gains. However, most agricultural energy studies have only focused on external input, neglecting the role of internal biomass flows from livestock and forestry. This study synthesizes the findings from 82 farm systems in North America and Europe from 1830 to 2012, highlighting the changing energy profiles in agroecosystems, including livestock and forestry. The results reveal a trend towards lower external returns, little or no increase in internal returns, and minimal improvement in total returns.
AGRONOMY FOR SUSTAINABLE DEVELOPMENT
(2023)
Article
Mathematics
Ioannis Kyriakou, Parastoo Mousavi, Jens Perch Nielsen, Michael Scholz
Summary: The paper introduces a new model that simultaneously considers short- and long-term predictions, aiming to reduce short-term variance by combining different time horizons and providing long-term pension savers with more reasonable investment strategies.
Article
Geosciences, Multidisciplinary
Linqiang Wu, Tao Zhang, Hongtao Zhang, Yuzhang Sui, Xinghe Yu, Miao Miao
Summary: This study utilizes a new hybrid method based on the discounted cash flow (DCF) method and the energy return on investment (EROI) method to estimate the economic production rate of natural gas hydrate (NGH) exploitation in different gas price scenarios. The results show that key factors, such as the number of wells, gas-water ratio, and gas price, have a significant effect on the economic production rate.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Energy & Fuels
Marco Vittorio Ecclesia, Joao Santos, Paul E. Brockway, Tiago Domingos
Summary: The declining EROIs of energy sources imply a decrease in the efficiency of extracting and producing energy globally. This study introduces a new societal EROI measure that takes into account a broader range of energy sources and the influence of imported and exported energy. Using Portugal as a case study, the new EROI is found to be considerably lower but stable, indicating its independence from economic growth. The declining societal EROI at the final stage emphasizes the importance of producing new and more efficient energy converting capital for a successful transition to renewables.
Article
Meteorology & Atmospheric Sciences
M. A. Ben Alaya, F. W. Zwiers, X. Zhang
Summary: The uniform risk engineering practices for structural design require estimates of extreme wind loads based on observational data, which are affected by sampling uncertainty and potential biases. If estimates are biased, reliability could be compromised.
WEATHER AND CLIMATE EXTREMES
(2021)
Article
Green & Sustainable Science & Technology
Marta Christina Suciu, Adrian Petre, Laura Gabriela Istudor, Mircea Ovidiu Mituca, Gheorghe Alexandru Stativa, Diana Mardarovici, Oana Raluca Tofan, Razvan George Cotescu
Summary: The research aims to estimate the real convergence degree of countries joining the EU as a prerequisite for sustainable accession to the Euro Area. Results show that non-Euro Area countries tend to reduce income disparities with the Euro Area average, but do not exhibit convergent economic growth.
Article
Energy & Fuels
A. A. Feyzullayev, I Lerche, I. M. Mamedova, A. G. Gojayev
Summary: The paper is based on the concept of the renewability of oil and gas resources, aiming to estimate the natural replenishment rate of reservoirs using the Bibieybat oil and Garadag gas condensate fields as examples. The study shows that as a field develops, the recoverable hydrocarbon fluids are compensated by their natural inflow, leading to production stabilization.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2021)
Article
Health Care Sciences & Services
Janne Estill, Tauhid Islam, Rein M. G. J. Houben, Jamie Rudman, Romain Ragonnet, Emma S. McBryde, James M. Trauer, Erol Orel, Anh Tuan Nguyen, Kalpeshsinh Rahevar, Fukushi Morishita, Kyung Hyun Oh, Mario C. Raviglione, Olivia Keiser
Summary: This study aimed to estimate the disease burden of TB and return on investment of TB care in selected high-burden countries of the Western Pacific Region. Active case finding strategies were found to be the most effective intervention, and TB care can bring a multiple-fold return on investment even at its current level.
LANCET REGIONAL HEALTH-WESTERN PACIFIC
(2021)
Article
Mathematics
Chin Soon Ku, Jiale Xiong, Yen-Lin Chen, Shing Dhee Cheah, Hoong Cheng Soong, Lip Yee Por
Summary: This study proposes an approach that integrates investor domain knowledge with a long-short-term memory (LSTM) algorithm for stock price prediction. The approach involves collecting technical indicator data from investors and using them as input for the LSTM model. The model is trained and tested using a dataset of 100 stocks, and its accuracy and performance are evaluated and compared to other strategies.
Article
Business
Miller-Janny Ariza-Garzon, Maria-Del-Mar Camacho-Minano, Maria-Jesus Segovia-Vargas, Javier Arroyo
Summary: Research on P2P lending is focused on artificial intelligence and machine learning algorithms, but many studies lack a proper understanding of the practical application context and business framework.
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
(2021)