Chronologically constrained composite curves for carbon constrained agricultural planning

Wong, Wai Hong; Foo, Dominic Chwan Yee; Tan, Raymond R.

doi:10.1016/j.biombioe.2011.01.021

Cited by 8 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, the approach was designed to give improved and more realistic renewable energy and emissions targets. Wong et al later used composite curves to graphically represent CO 2 levels over a finite time period to facilitate systematic land use planning based on CO 2 emission limits (Wong et al, 2011). Tan et al (Tan et al, 2009) applied a graphical Pinch targeting technique for carbon capture and storage retrofits in the power generation sector.…”

Section: Introductionmentioning

confidence: 99%

“…The source curve representing the fossil-based energy resources of the power sector is mapped against the demand curve representing regional or national energy requirements. The composite curves of Wong et al (Wong et al, 2011) map the time horizon for clearing agricultural land plots versus CO 2 emission limits. These graphical plots provide useful visualization tools as alternatives to simple algebraic solutions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Holistic carbon planning for industrial parks: a waste-to-resources process integration approach

Muhammad

Manan

Alwi

2012

Journal of Cleaner Production

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Holistic carbon planning for industrial parks: a waste-to-resources process integration approach

Muhammad

Manan

Alwi

2012

Journal of Cleaner Production

View full text Add to dashboard Cite

Pinch Analysis for Land-Constrained Agriculture Sector Planning

Andiappan,

Rajakal,

Wan

2023

Process Integr Optim Sustain

View full text Add to dashboard Cite

Agriculture is an essential economic sector as it plays an important role in providing growing populations with sufficient food. Thus, it is imperative for policymakers to plan sufficient food stockpiles based on consumption requirements while ensuring lands are used in an efficient manner for producing a range of crops. Land is a limited resource and should be utilised efficiently to meet crop/food production demands. Thus, this work presents land use pinch analysis (LUPA), to aid planning of crop based on land footprint. LUPA is a novel application that allows the decision maker to determine the minimum amount of low land footprint crop required to achieve reductions in land usage and to meet food product demands. To illustrate LUPA, this work provides a numerical case study intended to highlight the benefits and features of the methodology. The case study aims to determine the amount of low land footprint oil crop (e.g., palm oil) that could replace other oil crops to meet a given edible oil demand and achieve reductions in land footprint. Results from the case study suggest that policymakers can opt for around 1 million hectares of low land footprint oil crop to meet the specified edible oil demand and replacing about 8 million hectares of a higher land footprint oil crop in the process. The case study is revisited analyse the impact of crop yield on the planning. This evidently shows that LUPA can be used as a means for strategising land allocation and land use reductions to meet edible oil demands.

show abstract