Jonathan M Cullen
Biographic Data
| ID | 6823404 |
|---|---|
| NAME | Jonathan M Cullen |
| GIVEN NAMES | Jonathan M |
| FAMILY NAME | Cullen |
| SIGNATURE | CULLEN J M |
| AFFILIATIONS | University of Cambridge |
| ORCID | 0000-0003-4347-5025 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 17 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
From CO2 emissions to resource efficiency
A new simplified methodology for calculating industrial exergy-based Resource Efficiency (RE), estimating clinker manufacturing RE from publicly available CO 2 emissions data and existing technical knowledge, is proposed. The analysis builds on previous control-data exergy-based RE analysis of a real cement plant. The results of the two models tested follow the same trends found in the plant’s exergy-based RE analysis employing real-time control-…
Toward responsible mining
Concerns over the environmental and social impacts of mining have prompted the development of environmental, social, and governance (ESG) frameworks to guide companies toward more responsible practices. While these frameworks have improved accountability, their effectiveness in addressing localized impacts remains uncertain, particularly in low- and middle-income countries, with lower transparency and limited data. This study combines a review of…
Doubling of flood-induced bridge asset failure loss in Mozambique under 2050 climate
Machine learning for gap‐filling in greenhouse gas emissions databases
Greenhouse gas (GHG) emissions datasets are often incomplete due to inconsistent reporting and poor transparency. Filling the gaps in these datasets allows for more accurate targeting of strategies aiming to accelerate the reduction of GHG emissions. This study evaluates the potential of machine learning methods to automate the completion of GHG datasets. We use three datasets of increasing complexity with 18 different gap‐filling methods and pro…
Connected, complex, and carbonized
The petrochemicals sector is known to be “hard-to-decarbonise” due to its innate requirement for fossil fuels for feedstocks, high greenhouse gas emissions, and highly interconnected and complex supply chains. The sector's complexity makes it difficult to decipher how, when, and where to intervene. Every country has a different level of embroilment in the petrochemicals sector, further complicating the solution space, with no one-fits-all policy …
Dynamic exergy analysis
As the power and transport sectors decarbonize, industrial emissions will become the main focus of decarbonization efforts. Exergy analysis provides a combined material and energy efficiency approach to assess industrial plants, both of which are necessary to tackle industrial emissions. Existing studies typically use simulated, static data that cannot inform real plant operators. This paper performs an exergy analysis on data spanning 2 years fr…
Plastics and climate change—Breaking carbon lock-ins through three mitigation pathways
The plastic industry is dependent on fossil fuels in various ways that result in strong “carbon lock-in” throughout the value chain and large and growing CO2 emissions. The industry must decarbonize to reach global net-zero pledges. Although a few initiatives have been launched, they primarily focus on plastic waste. Current research has investigated mitigation potential on different parts of the plastic value chain but remains in silos. Here, we…
Material efficiency for climate change mitigation
A new method to estimate the lifetime of long‐life product categories
Increased recycling and reuse rates are a central part of the objectives laid out by the COP21. Nonetheless, the practical implementation of what has been called the circular economy, as well as its true potential, are not easily established. This is because the impact and implementation time scales of any intervention depend on knowing the lifetime of products, which is frequently unknown. This is particularly true in construction, responsible f…
Calculating the chemical exergy of materials
Modern society requires large amounts of materials which lead to emissions of greenhouse gases. Effective climate policy should focus on not just energy efficiency but material efficiency as well. Exergy analysis is a powerful metric used to identify opportunities for efficiency improvement in industrial resource flow systems. Exergy offers a single unified measure of energy and material resources and indicates the real thermodynamic value of the…
Global material flow analysis of glass
Global glass production grew to 150 million tonnes (Mt) in 2014, equating to approximately 21 kg per person. Producing this glass is energy intensive and contributes annual CO 2 emissions of some 86Mt. An accurate map of the global glass supply chain is needed to help identify emissions mitigation options from across the supply chain, including process energy efficiency and material efficiency options. This map does not yet exist, so we address t…
A low energy demand scenario for meeting the 1.5 °C target and sustainable development goals without negative emission technologies
Taking the Circularity to the Next Level
Circular Economy
The Need for Robust, Consistent Methods in Societal Exergy Accounting
Studies of societal exergy use have the common aim of tracing the flow of exergy along society, and are used to gain insights into the efficiency of energy use and linkages to economic growth. However, their methodological approaches vary greatly, with significant impacts on results. Therefore, we make a review of past studies to identify, synthesize and discuss methodological differences, to contribute to a more consistent and robust approach to…
A General Nonlinear Least Squares Data Reconciliation and Estimation Method for Material Flow Analysis
The extraction, transformation, use, and disposal of materials can be represented by directed, weighted networks, known in the material flow analysis (MFA) community as Sankey or flow diagrams. However, the construction of such networks is dependent on data that are often scarce, conflicting, or do not directly map onto a Sankey diagram. By formalizing the forms of data entry, a nonlinear constrained optimization program for data estimation and r…
The Role of Washing Machines in Life Cycle Assessment Studies
A key requirement for those in industry and elsewhere who wish to reduce the environmental impact of a product is to develop priorities for action. Life cycle assessment (LCA) is increasingly used to identify such priorities but can be misleading. This article draws attention to two effects that can occur when the system boundary for a product LCA is not defined correctly. We illustrate the “washing machine effect” by showing that in separate lif…
No prominent works on this page.
The Role of Washing Machines in Life Cycle Assessment Studies
A key requirement for those in industry and elsewhere who wish to reduce the environmental impact of a product is to develop priorities for action. Life cycle assessment (LCA) is increasingly used to identify such priorities but can be misleading. This article draws attention to two effects that can occur when the system boundary for a product LCA is not defined correctly. We illustrate the “washing machine effect” by showing that in separate lif…
A General Nonlinear Least Squares Data Reconciliation and Estimation Method for Material Flow Analysis
The extraction, transformation, use, and disposal of materials can be represented by directed, weighted networks, known in the material flow analysis (MFA) community as Sankey or flow diagrams. However, the construction of such networks is dependent on data that are often scarce, conflicting, or do not directly map onto a Sankey diagram. By formalizing the forms of data entry, a nonlinear constrained optimization program for data estimation and r…
Taking the Circularity to the Next Level
Circular Economy
The Need for Robust, Consistent Methods in Societal Exergy Accounting
Studies of societal exergy use have the common aim of tracing the flow of exergy along society, and are used to gain insights into the efficiency of energy use and linkages to economic growth. However, their methodological approaches vary greatly, with significant impacts on results. Therefore, we make a review of past studies to identify, synthesize and discuss methodological differences, to contribute to a more consistent and robust approach to…
A low energy demand scenario for meeting the 1.5 °C target and sustainable development goals without negative emission technologies
Material efficiency for climate change mitigation
A new method to estimate the lifetime of long‐life product categories
Increased recycling and reuse rates are a central part of the objectives laid out by the COP21. Nonetheless, the practical implementation of what has been called the circular economy, as well as its true potential, are not easily established. This is because the impact and implementation time scales of any intervention depend on knowing the lifetime of products, which is frequently unknown. This is particularly true in construction, responsible f…
Calculating the chemical exergy of materials
Modern society requires large amounts of materials which lead to emissions of greenhouse gases. Effective climate policy should focus on not just energy efficiency but material efficiency as well. Exergy analysis is a powerful metric used to identify opportunities for efficiency improvement in industrial resource flow systems. Exergy offers a single unified measure of energy and material resources and indicates the real thermodynamic value of the…
Global material flow analysis of glass
Global glass production grew to 150 million tonnes (Mt) in 2014, equating to approximately 21 kg per person. Producing this glass is energy intensive and contributes annual CO 2 emissions of some 86Mt. An accurate map of the global glass supply chain is needed to help identify emissions mitigation options from across the supply chain, including process energy efficiency and material efficiency options. This map does not yet exist, so we address t…
Dynamic exergy analysis
As the power and transport sectors decarbonize, industrial emissions will become the main focus of decarbonization efforts. Exergy analysis provides a combined material and energy efficiency approach to assess industrial plants, both of which are necessary to tackle industrial emissions. Existing studies typically use simulated, static data that cannot inform real plant operators. This paper performs an exergy analysis on data spanning 2 years fr…
Plastics and climate change—Breaking carbon lock-ins through three mitigation pathways
The plastic industry is dependent on fossil fuels in various ways that result in strong “carbon lock-in” throughout the value chain and large and growing CO2 emissions. The industry must decarbonize to reach global net-zero pledges. Although a few initiatives have been launched, they primarily focus on plastic waste. Current research has investigated mitigation potential on different parts of the plastic value chain but remains in silos. Here, we…
Machine learning for gap‐filling in greenhouse gas emissions databases
Greenhouse gas (GHG) emissions datasets are often incomplete due to inconsistent reporting and poor transparency. Filling the gaps in these datasets allows for more accurate targeting of strategies aiming to accelerate the reduction of GHG emissions. This study evaluates the potential of machine learning methods to automate the completion of GHG datasets. We use three datasets of increasing complexity with 18 different gap‐filling methods and pro…
Connected, complex, and carbonized
The petrochemicals sector is known to be “hard-to-decarbonise” due to its innate requirement for fossil fuels for feedstocks, high greenhouse gas emissions, and highly interconnected and complex supply chains. The sector's complexity makes it difficult to decipher how, when, and where to intervene. Every country has a different level of embroilment in the petrochemicals sector, further complicating the solution space, with no one-fits-all policy …
Doubling of flood-induced bridge asset failure loss in Mozambique under 2050 climate
From CO2 emissions to resource efficiency
A new simplified methodology for calculating industrial exergy-based Resource Efficiency (RE), estimating clinker manufacturing RE from publicly available CO 2 emissions data and existing technical knowledge, is proposed. The analysis builds on previous control-data exergy-based RE analysis of a real cement plant. The results of the two models tested follow the same trends found in the plant’s exergy-based RE analysis employing real-time control-…
Toward responsible mining
Concerns over the environmental and social impacts of mining have prompted the development of environmental, social, and governance (ESG) frameworks to guide companies toward more responsible practices. While these frameworks have improved accountability, their effectiveness in addressing localized impacts remains uncertain, particularly in low- and middle-income countries, with lower transparency and limited data. This study combines a review of…
Computer Science (11 works) · Engineering (11 works) · Environmental Impact and Sustainability (9 works) · Industrial ecology (8 works) · Economics (7 works) · Environmental economics (7 works) · Sustainable Supply Chain Management (7 works) · Ecology (6 works) · Environmental Science (6 works) · Sustainability (6 works)