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Expand Up @@ -167,6 +167,41 @@ <h2>2016</h2>



<li class="bibitem"><span class="label label-info">Journal Article</span>&nbsp;<span class="bibitem_authors">Allan Hayato Shimako, Ligia Tiruta-Barna, Yoann Pigné, Enrico Benetto, Tomás Navarrete Gutiérrez, Pascal Guiraud, Aras Ahmadi.</span>
<span class='bibitem_title'>

<a href="http://www.sciencedirect.com/science/article/pii/S0959652616311283">Environmental assessment of bioenergy production from microalgae based systems</a>.

</span>


In <span class="bibitem_in">Journal of Cleaner Production. </span>


Volume <span class="bibitem_volume"> 139.</span>




Pages <span class="bibitem_pages"> 51-60.</span>


DOI: <span class="bibitem_doi"> <a href="http://dx.doi.org/10.1016/j.jclepro.2016.08.003">10.1016/j.jclepro.2016.08.003</a></span>.




<span class="bibitem_year">2016</span>.


&nbsp;<a href="" class="unfold_abstract btn btn-sm btn-default">Abstract</a>&nbsp;
<pre class="folded hidd alert alert-info">Microalgae have been studied as a potential alternative raw material and various technologies have been proposed to transform the algal biomass into energy products. In this study, two bioenergy production systems of very different complexities were modelled to assess their environmental efficiencies: a biodiesel system and a biogas system. Biodiesel system used supercritical extraction and transesterification as key processes; to the best of authors&#x27; knowledge, there is no previous work analysing the environmental performances of such production system. Cumulative energy demand, Life Cycle Assessment (LCA) and dynamic LCA for climate change were used to evaluate the environmental footprint of the production systems. Conventional systems for electricity, heat and diesel production were considered for comparison. Energy balance showed that the supercritical extraction and drying steps were the most energy consuming unit operations in biodiesel production and further developments of technologies might be envisaged. LCA showed that climate change was the main contributor to impacts on human health and ecosystem quality due to energy consumed in production steps. Also, heat from biogas was the only product that proved to have a satisfactory environmental performance with regard to other conventional production systems. Finally, dynamic climate change evaluation (used for the first time for bio-chemical processes) revealed no carbon sequestration in microalgae system.</pre>

</li>




<li class="bibitem"><span class="label label-info">Journal Article</span>&nbsp;<span class="bibitem_authors">Ligia Tiruta-Barna, Yoann Pigné, Tomás Navarrete Gutiérrez, Enrico Benetto.</span>
<span class='bibitem_title'>

Expand Down Expand Up @@ -198,6 +233,40 @@ <h2>2016</h2>



<li class="bibitem"><span class="label label-info">Journal Article</span>&nbsp;<span class="bibitem_authors">Tomás Navarrete-Gutiérrez, Benedetto Rugani, Yoann Pigné, Antonino Marvuglia, Enrico Benetto.</span>
<span class='bibitem_title'>

<a href="http://onlinelibrary.wiley.com/doi/10.1111/jiec.12338/abstract">On the Complexity of Life Cycle Inventory Networks: Role of Life Cycle Processes with Network Analysis</a>.

</span>


In <span class="bibitem_in">Journal of Industrial Ecology. </span>


Volume <span class="bibitem_volume"> 20.</span>


Issue <span class="bibitem_volume"> 5.</span>



Pages <span class="bibitem_pages"> 1094-1107.</span>


DOI: <span class="bibitem_doi"> <a href="http://dx.doi.org/10.1111/jiec.12338">10.1111/jiec.12338</a></span>.




<span class="bibitem_year">2016</span>.


&nbsp;<a href="" class="unfold_abstract btn btn-sm btn-default">Abstract</a>&nbsp;
<pre class="folded hidd alert alert-info">Determining the relevance and importance of a technosphere process or a cluster of processes in relation to the rest of the industrial network can provide insights into the sustainability of supply chains: those that need to be optimized or controlled/safeguarded. Network analysis (NA) can offer a broad framework of indicators to tackle this problem. In this article, we present a detailed analysis of a life cycle inventory (LCI) model from an NA perspective. Specifically, the network is represented as a directed graph and the “emergy” numeraire is used as the weight associated with the arcs of the network. The case study of a technological system for drinking water production is presented. We investigate the topological and structural characteristics of the network representation of this system and compare properties of its weighted and unweighted network, as well as the importance of nodes (i.e., life cycle unit processes). By identifying a number of advantages and limitations linked to the modeling complexity of such emergy-LCI networks, we classify the LCI technosphere network of our case study as a complex network belonging to the scale-free network family. The salient feature of this network family is represented by the presence of “hubs”: nodes that connect with many other nodes. Hub failures may imply relevant changes, decreases, or even breaks in the connectedness with other smaller hubs and nodes of the network. Hence, by identifying node centralities, we can rank and interpret the relevance of each node for its special role in the life cycle network.</pre>

</li>




Expand Down Expand Up @@ -266,6 +335,12 @@ <h2>2015</h2>









<li class="bibitem"><span class="label label-info">Book Chapter</span>&nbsp;<span class="bibitem_authors">Frédéric Guinand, Yoann Pigné.</span>
<span class='bibitem_title'>

Expand Down Expand Up @@ -301,39 +376,6 @@ <h2>2015</h2>



<li class="bibitem"><span class="label label-info">Journal Article</span>&nbsp;<span class="bibitem_authors">Tomás Navarrete-Gutiérrez, Benedetto Rugani, Yoann Pigné, Antonino Marvuglia, Enrico Benetto.</span>
<span class='bibitem_title'>

<a href="http://onlinelibrary.wiley.com/doi/10.1111/jiec.12338/abstract">On the Complexity of Life Cycle Inventory Networks: Role of Life Cycle Processes with Network Analysis</a>.

</span>


In <span class="bibitem_in">Journal of Industrial Ecology. </span>





Pages <span class="bibitem_pages"> n/a-n/a.</span>


DOI: <span class="bibitem_doi"> <a href="http://dx.doi.org/10.1111/jiec.12338">10.1111/jiec.12338</a></span>.




<span class="bibitem_year">2015</span>.


&nbsp;<a href="" class="unfold_abstract btn btn-sm btn-default">Abstract</a>&nbsp;
<pre class="folded hidd alert alert-info">Determining the relevance and importance of a technosphere process or a cluster of processes in relation to the rest of the industrial network can provide insights into the sustainability of supply chains: those that need to be optimized or controlled/safeguarded. Network analysis (NA) can offer a broad framework of indicators to tackle this problem. In this article, we present a detailed analysis of a life cycle inventory (LCI) model from an NA perspective. Specifically, the network is represented as a directed graph and the “emergy” numeraire is used as the weight associated with the arcs of the network. The case study of a technological system for drinking water production is presented. We investigate the topological and structural characteristics of the network representation of this system and compare properties of its weighted and unweighted network, as well as the importance of nodes (i.e., life cycle unit processes). By identifying a number of advantages and limitations linked to the modeling complexity of such emergy-LCI networks, we classify the LCI technosphere network of our case study as a complex network belonging to the scale-free network family. The salient feature of this network family is represented by the presence of “hubs”: nodes that connect with many other nodes. Hub failures may imply relevant changes, decreases, or even breaks in the connectedness with other smaller hubs and nodes of the network. Hence, by identifying node centralities, we can rank and interpret the relevance of each node for its special role in the life cycle network.</pre>

</li>







Expand Down Expand Up @@ -402,6 +444,9 @@ <h2>2014</h2>






<li class="bibitem"><span class="label label-info">Book</span>&nbsp;<span class="bibitem_authors">Bernabé Dorronsoro, Patricia Ruiz, Grégoire Danoy, Yoann Pigné, Pascal Bouvry.</span>
<span class='bibitem_title'>

Expand Down Expand Up @@ -500,6 +545,9 @@ <h2>2013</h2>






<li class="bibitem"><span class="label label-info">Journal Article</span>&nbsp;<span class="bibitem_authors">A. Marvuglia, B. Rugani, G. Rios, Y. Pigné, E. Benetto, L. Tiruta-Barna.</span>
<span class='bibitem_title'>

Expand Down Expand Up @@ -670,6 +718,9 @@ <h2>2012</h2>









Expand Down Expand Up @@ -775,35 +826,35 @@ <h2>2011</h2>



<li class="bibitem"><span class="label label-info">Conference Paper</span>&nbsp;<span class="bibitem_authors">Yoann Pigné, Grégoire Danoy, Pascal Bouvry.</span>



<li class="bibitem"><span class="label label-info">Conference Paper</span>&nbsp;<span class="bibitem_authors">G.-C. Aboue Nze, F. Guinand, Y. Pigne.</span>
<span class='bibitem_title'>

<a href="http://dl.acm.org/citation.cfm?id=1987310.1987325">A vehicular mobility model based on real traffic counting data</a>.
Impact of square environment on the connectivity in finite ad hoc networks.

</span>


In <span class="bibitem_in">Proceedings of the Third international conference on Communication technologies for vehicles. </span>


In <span class="bibitem_in">2011 14th International Symposium on Wireless Personal Multimedia Communications (WPMC). </span>



Pages <span class="bibitem_pages"> 131–142.</span>



ISBN: <span class="bibitem_isbn">978-3-642-19785-7</span>.
Pages <span class="bibitem_pages"> 1-5.</span>


<span class="bibitem_publisher">Springer-Verlag, </span>


<span class="bibitem_address">Berlin, Heidelberg, </span>

<span class="bibitem_year">2011</span>.


&nbsp;<a href="" class="unfold_abstract btn btn-sm btn-default">Abstract</a>&nbsp;
<pre class="folded hidd alert alert-info">This paper aims at studying some connectivity properties for random geometric graphs when they are constrained by the topological space in which they are embedded. More precisely, we focus our attention on limited square and rectangular environments. In order to analyse the impact of such environments on related graphs, we observe the evolution of mean degree. We propose an approach aiming at estimating the impact of the environment borders on the connectivity and we provide an analytical formula for computing the mean degree value depending on borders effects.</pre>

</li>


Expand All @@ -812,67 +863,70 @@ <h2>2011</h2>
<li class="bibitem"><span class="label label-info">Conference Paper</span>&nbsp;<span class="bibitem_authors">Yoann Pigné, Grégoire Danoy, Pascal Bouvry.</span>
<span class='bibitem_title'>

<a href="http://doi.acm.org/10.1145/2069000.2069007">Sensitivity analysis for a realistic vehicular mobility model</a>.
<a href="http://dl.acm.org/citation.cfm?id=1987310.1987325">A vehicular mobility model based on real traffic counting data</a>.

</span>


In <span class="bibitem_in">Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications. </span>
In <span class="bibitem_in">Proceedings of the Third international conference on Communication technologies for vehicles. </span>





Pages <span class="bibitem_pages"> 31–38.</span>

Pages <span class="bibitem_pages"> 131–142.</span>

DOI: <span class="bibitem_doi"> <a href="http://dx.doi.org/10.1145/2069000.2069007">10.1145/2069000.2069007</a></span>.


ISBN: <span class="bibitem_isbn">978-1-4503-0904-2</span>.
ISBN: <span class="bibitem_isbn">978-3-642-19785-7</span>.


<span class="bibitem_publisher">ACM, </span>
<span class="bibitem_publisher">Springer-Verlag, </span>


<span class="bibitem_address">New York, NY, USA, </span>
<span class="bibitem_address">Berlin, Heidelberg, </span>

<span class="bibitem_year">2011</span>.


&nbsp;<a href="" class="unfold_abstract btn btn-sm btn-default">Abstract</a>&nbsp;
<pre class="folded hidd alert alert-info">In this article, we consider a realistic vehicular mobility model, VehILux, and use a sensitivity analysis method to quantitatively study the influence and interdependencies of its parameters. The analysis reveals several properties in the set of parameters. Some are identified as irrelevant to the output while some have stronger impact than expected. This analysis is proposed as a preliminary step to the mobility model optimization, as it permits to significantly reduce the parameters search space.</pre>

</li>




<li class="bibitem"><span class="label label-info">Conference Paper</span>&nbsp;<span class="bibitem_authors">G.-C. Aboue Nze, F. Guinand, Y. Pigne.</span>
<li class="bibitem"><span class="label label-info">Conference Paper</span>&nbsp;<span class="bibitem_authors">Yoann Pigné, Grégoire Danoy, Pascal Bouvry.</span>
<span class='bibitem_title'>

Impact of square environment on the connectivity in finite ad hoc networks.
<a href="http://doi.acm.org/10.1145/2069000.2069007">Sensitivity analysis for a realistic vehicular mobility model</a>.

</span>


In <span class="bibitem_in">2011 14th International Symposium on Wireless Personal Multimedia Communications (WPMC). </span>
In <span class="bibitem_in">Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications. </span>





Pages <span class="bibitem_pages"> 1-5.</span>
Pages <span class="bibitem_pages"> 31–38.</span>


DOI: <span class="bibitem_doi"> <a href="http://dx.doi.org/10.1145/2069000.2069007">10.1145/2069000.2069007</a></span>.


ISBN: <span class="bibitem_isbn">978-1-4503-0904-2</span>.


<span class="bibitem_publisher">ACM, </span>


<span class="bibitem_address">New York, NY, USA, </span>

<span class="bibitem_year">2011</span>.


&nbsp;<a href="" class="unfold_abstract btn btn-sm btn-default">Abstract</a>&nbsp;
<pre class="folded hidd alert alert-info">This paper aims at studying some connectivity properties for random geometric graphs when they are constrained by the topological space in which they are embedded. More precisely, we focus our attention on limited square and rectangular environments. In order to analyse the impact of such environments on related graphs, we observe the evolution of mean degree. We propose an approach aiming at estimating the impact of the environment borders on the connectivity and we provide an analytical formula for computing the mean degree value depending on borders effects.</pre>
<pre class="folded hidd alert alert-info">In this article, we consider a realistic vehicular mobility model, VehILux, and use a sensitivity analysis method to quantitatively study the influence and interdependencies of its parameters. The analysis reveals several properties in the set of parameters. Some are identified as irrelevant to the output while some have stronger impact than expected. This analysis is proposed as a preliminary step to the mobility model optimization, as it permits to significantly reduce the parameters search space.</pre>

</li>

Expand Down Expand Up @@ -943,6 +997,9 @@ <h2>2010</h2>









Expand Down Expand Up @@ -1108,6 +1165,9 @@ <h2>2009</h2>









Expand Down Expand Up @@ -1275,6 +1335,9 @@ <h2>2008</h2>









Expand Down Expand Up @@ -1438,6 +1501,9 @@ <h2>2007</h2>









Expand Down Expand Up @@ -1487,6 +1553,7 @@ <h2>2007</h2>
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