Comments from kcerva #1 and #3

paper.bib

@@ -176,3 +176,37 @@ @article{BORGONOVO2007771
 volume = {92},
 year = {2007}
 }
+
+@article{RECC:2021,
+author = {Pauliuk, S. and Fishman, T. and Heeren, N. and Berrill, P. and Tu, Q. and Wolfram, P. and Hertwich, E.G.},
+doi = {10.1111/jiec.13023},
+journal = {Journal of Industrial Ecology},
+pages = {260--273},
+title = {{Linking service provision to material cycles: A new framework for studying the resource efficiency–climate change (RECC) nexus}},
+url = {https://onlinelibrary.wiley.com/doi/full/10.1111/jiec.13023},
+volume = {25},
+year = {2021}
+}
+
+@article{Mat-dp:2022,
+author = {Barron, K.C. and Cullen, J.M.},
+doi = {10.21105/joss.04460},
+journal = {Journal of Open Source Software},
+pages = {4460},
+title = {{Mat-dp: An open-source Python model for analysing material demand projections and their environmental implications, which result from building low-carbon systems.}},
+url = {https://joss.theoj.org/papers/10.21105/joss.04460},
+volume = {7},
+number = {76},
+year = {2022}
+}
+
+@article{Mat-dp:2024,
+author = {Barron, K.C. and Cullen, J.M.},
+doi = {10.1016/j.resconrec.2024.107803},
+journal = {Resources, Conservation and Recycling},
+pages = {107803},
+title = {{Using open-source tools to project bulk and critical material demand and assess implications for low-carbon energy and transport systems: Introducing Mat-dp model tools.}},
+url = {https://joss.theoj.org/papers/10.21105/joss.04460},
+volume = {209},
+year = {2024}
+}

paper.md

@@ -45,9 +45,9 @@ toxicity impacts, etc.
 
 # Statement of need
 
-Most IAMs and ESMs project cost-optimized future energy supplies within 
+Most IAMs and ESMs project cost- or utility-optimized future scenarios within 
 specified greenhouse gas emissions trajectories, outlining changes needed 
-in regional energy mixes for global warming mitigation [@Riahi:2017]. 
+in regional energy mixes and means of transport for global warming mitigation [@Riahi:2017]. 
 Prospective Life Cycle Assessment (pLCA) is crucial for evaluating the 
 environmental performance of existing and emerging production systems, with 
 a growing body of literature in scenario-based pLCA for emerging technologies 
@@ -73,6 +73,18 @@ bidirectional coupling between ESM and LCA. Yet, these studies focused
 on specific sectors or technologies and have not yet generalized to broader 
 scenarios and indicators, nor have they made their implementations widely available.
 
+Beyond conventional pLCA approaches, several tools and frameworks have been developed
+that leverage LCA data to support further analysis, often through automation and integration
+with broader modeling frameworks. For example, the `ODYM-RECC` framework integrates LCA data
+to assess resource efficiency within climate mitigation scenarios, providing insights on 
+material demand and supply chain impacts [@RECC:2021]. Similarly, the `Mat-dp` tool, when 
+supplied with suitable input data, can be used to calculate materials needed and estimate 
+environmental impacts of transition scenarios [@Mat-dp:2022], [@Mat-dp:2024]. However, because 
+these tools depend on exogeneous input data, they are not designed to 
+systematically consider the time-dependent technology mixes influencing the production system. 
+This limits their ability to endogenously and dynamically assess evolving environmental impacts 
+and material demand, restricting consistency with the scenario assessed.
+
 To address these challenges, the open-source library `pathways` utilizes the 
 LCA framework `brightway` [@Mutel:2017] to systematically evaluate 
 environmental impacts of energy transition scenarios. `pathways` works with 

pathways/data/technologies_shares.yaml

@@ -1,4 +1,4 @@
-Wind: ### Check if IAMs make the distinction between onshore and offshore
+Wind:
   onshore-DDPM:
     name: electricity production, wind, 1-3MW turbine, onshore, direct drive
     reference product: electricity, high voltage