Energy efficiency and conservation for individual Americans

Pimentel, David; Gardner, Jennifer; Bonnifield, Adam; Garcia, Ximena; Grufferman, Julie; Horan, Claire M.; Schlenker, Julia; Walling, Emily

doi:10.1007/s10668-008-9155-2

Cited by 6 publications

(13 citation statements)

References 45 publications

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“…Smalley argued that energy tops the list; because abundant, available, affordable, efficient, clean, and secure energy would enable the resolution of all the other problems‖ (Randolph & Masters, 2008). Even the economy, national security, and quality of life are strongly dependent on accessibility to energy from fossil fuel (Pimentel et al, 2007;Tester, 2005).…”

Section: ____________________________________________________________mentioning

confidence: 99%

“…It seems that the oil production has peaked and it has reserves for only sixty to seventy more years (Pimentel, 2009). Also, if the oil is replaced by coal, the world has only about 50-100 years of coal left to burn (Pimentel et al, 2007). However, it is very difficult to know exactly how large the oil reserves are as much previous estimation have failed.…”

Section: ____________________________________________________________mentioning

confidence: 99%

“…Producing, processing, packaging, and distributing agricultural production from farms to houses needs around 1,900 of oil equivalents/person/year (Pimentel et al, 2007).…”

Section: Energy and Agriculturementioning

confidence: 99%

“…Fossil fuel energy can be either replaced with new sources of energy, or optimized in an applied manner (Kitani, 1999;Pimentel et al, 2007). It is predicted that even with the use of more efficient technologies and new energy sources, due to population and economic growth and improving quality of life in developing countries, the fossil fuel demand will increase in the coming years.…”

Section: Agriculture As An Energy Producermentioning

confidence: 99%

“…For example, in the latter part of the twentieth century, energy consumption was reduced by 1.3-4.9% in developed industrial countries (Singh & Mittal, 1992). Also, European Union has decided to reduce its energy consumption by 20% by 2020 (Pimentel et al, 2007).…”

mentioning

confidence: 99%

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Determination and modelling of energy consumption in wheat production using neural networks: “A case study in Canterbury province, New Zealand”

Safa

Samarasinghe

2011

Energy

116

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New Zealand farmers practice a form of ‗industrialised' agriculture that relies on relatively high inputs of fossil fuels, not only to power machinery directly but also for manufacturing artificial fertilizers and agrichemicals (Wells, 2001). Consequently, New Zealand is one of the countries with the highest energy input per unit weight (in agriculture) in the world (Conforti & Giampietro, 1997). Furthermore, in terms of shipping, the influence of increasing global fuel costs is greater on New Zealand farming than in other countries. The main aim of this study was to estimate energy consumption in wheat production. Energy determination can give a clear picture of farms in order to compare different farming systems and energy inputs. The second main target of this study was to develop a neural network model to simulate and predict energy use in wheat production under different conditions incorporating social, geographical, and technical factors. Additionally, the interaction effects between different factors were examined in this study.This study was conducted on irrigated and dryland wheat fields in Canterbury, New Zealand, in the 2007-2008 harvest year. Canterbury represents 87% of the wheat area and 66% of the arable area harvested in New Zealand.Energy consumption here is defined as the energy used for the production of wheat until it leaves the farm. The data were collected from three different sources:questionnaire, literature review, and field measurements. The energy inputs estimated in this study are those that go into on-farm production systems before the post-harvest processes. The study considered only the energy used in wheat production, without taking into account the natural sources of energy (radiation, wind, rain, etc). IVA survey was conducted to collect the most important data and to identify farmers' attitudes and opinions about energy consumption. In this study, 40 arable farms were selected randomly, as far as possible. From the initial analysis, it was found that 30 farms were irrigated and the rest were dryland farms. Irrigated farms were irrigated between one to ten times annually depending on the rainfall. Some irrigated farms have also been converted to dryland farms, or vice versa, in different years. The data for a large number of farming factors were gathered in the survey.Average energy consumption for wheat production was estimated at around 22,600 MJ/ha. On average, fertilizer and electricity (mostly for irrigation) were used more than other energy sources, at around 10,654 MJ/ha (47%) and 4,870 MJ/ha (22%), respectively. The average energy consumption for wheat production in irrigated farming systems and dryland farming systems was estimated at 25,600 and 17,458 MJ/ha, respectively. This study is the first to create an appropriate Artificial Neural Network (ANN) model to predict energy consumption in wheat production with optimum variables. This study would be the first to investigate the factors related to the efficient use of energy in agricultural production. A careful study o...

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confidence: 99%

Section: ____________________________________________________________mentioning

confidence: 99%

“…Producing, processing, packaging, and distributing agricultural production from farms to houses needs around 1,900 of oil equivalents/person/year (Pimentel et al, 2007).…”

Section: Energy and Agriculturementioning

confidence: 99%

Section: Agriculture As An Energy Producermentioning

confidence: 99%

mentioning

confidence: 99%

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Determination and modelling of energy consumption in wheat production using neural networks: “A case study in Canterbury province, New Zealand”

Safa

Samarasinghe

2011

Energy

116

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Human Ecology

2010

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A Bibliometric Analysis on Energy Efficiency and Conservation

Purwanto,

Iskandar,

Bhaktiar

2024

E3S Web of Conf.

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Energy efficiency and conservation are pivotal in addressing global energy challenges and promoting sustainability. This paper presents a comprehensive bibliometric analysis spanning 1976 to 2023, aiming to reveal the nuanced dynamics of the field. Utilizing the Scopus database and bibliometric analysis tools like VOSviewer, we explored publication trends, platform rankings, publication types, global distribution, and interconnected research themes. The dominance of top platforms like Energy and Journal of Cleaner Production underscored their significance, with insights into the role of conference proceedings and specialized platforms like Energy Efficiency. Journal articles prevailed, reflecting the academic community’s commitment to peer-reviewed channels, while diverse publication forms and subject areas highlighted a multifaceted approach. The global landscape showcased the United States’ leadership, with impactful contributions from Indonesia, fostering collaboration between developed and developing nations. VOSviewer visualizations revealed interconnected research themes, emphasizing the interdisciplinary nature of climate change and sustainable development. This study offers valuable insights for researchers, policymakers, and practitioners, guiding them to understand historical trends, identify influential platforms, recognize interdisciplinary patterns, and foster global collaborations to shape a more sustainable energy future.

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Energy efficiency and conservation for individual Americans

Cited by 6 publications

References 45 publications

Determination and modelling of energy consumption in wheat production using neural networks: “A case study in Canterbury province, New Zealand”

Determination and modelling of energy consumption in wheat production using neural networks: “A case study in Canterbury province, New Zealand”

Human Ecology

A Bibliometric Analysis on Energy Efficiency and Conservation

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