Because of the vast number of academic products with focus on sustainability being currently generated, it is becoming exceedingly difficult and time-consuming to perform accurate literature reviews that have actual relationship with such a topic and correctly reflect its state of the art. Thus, this work proposes a comprehensive Systematic Literature Review (SLR) design as a novel approach for collecting the body of contributions for any given research field in general and sustainability in particular. This design is guided by a semi-automated procedure that aims at incorporating the best automation features of earlier SLRs and involves available scientific databases, e.g., Scopus and Web of Science. The results of the proposed SLR design include bibliometric analyses, a list of researcher and institution networks, and a qualitative assessment of practical applications of the field of interest. Moreover, the proposed semi-automated approach allows for the inclusion of subject categorization based on the generation of author-density maps and keyword co-occurrence networks. For illustration, the semi-automated SLR design is implemented by thoroughly reviewing the contributions pertaining to the P-graph (Process Graph) framework with a focus on sustainability. The P-graph framework has been applied to multiple areas, such as network design, optimization, and system integration; in particular, the framework has proven to be useful for the development of sustainable systems. Upon execution, the semi-automated SLR design collected 284 contributions related to P-graph, of which 139 were classified as sustainability-related, and further partitioned into specific categories. It is expected that the proposed semi-automated SLR design will help researchers in the sustainability community accelerate the generation of works in that area by rapidly generating accurate literature reviews.

Herein, the formula proposed for quantifying the resilience of engineering systems, including processing systems, is general in several aspects. The structure of a system can be highly complex where the numbers of loops, raw materials, and products are not limited. The mathematical models of the operating units can be either linear or nonlinear for simulating the effect of the failures. The damage caused by an unexpected event can result in various levels of operation for the operating units. The proposed formula is also general in the sense that all possible combinations of failures are considered. The problem formulation, the related structure representation, the enumeration and evaluation of possible failures are based on the P-graph framework and its algorithms. The proposed formula for resilience is applicable to any complex engineering system whose behavior is primarily determined by its structure, including supply chains, information systems, municipal infrastructures, and electrical transmission networks.

The production of renewable fuels and chemicals is a critical component of global strategies to reduce greenhouse gas emissions. In this regard, pyrolysis oil obtained from biomass comprises hundreds of chemical compounds, thus rendering it a good precursor for manufacturing a variety of fuel products of commercial interest. Despite the large number of contributions describing the products' extraction, upgrading, and potential refining schemes, no bio-oil refinery is currently in operation. The main challenge in building a bio-oil refinery lies in the lack of an economically viable process configuration. Systematic studies comparing alternative refinery concepts, or configurations, are needed to identify the most promising configuration. To the best of our knowledge, this study is the first to use process graph (P-graph) methodology for the synthesis of pyrolysis oil refineries. In particular, this work shows the effectiveness of P-graph methodology in simultaneously calculating the profitability of various biorefinery designs by using data reported in the literature and providing information on how the introduction of new technologies to the database will impact the formation of profitable biorefinery concepts. Our work demonstrates a methodology for the addition of new unit operations to the database generated from the literature. The addition of a centrifuge for water extraction and a wet oxidation system for acetic acid production resulted in the generation of 330 biorefinery configurations, seven of which have a profitability ranging from $1,650 to $23,666/h (USD) with acetic acid and levoglucosan as the main products, respectively. This demonstrates that P-graph methodology is useful for discovering optimum techno-economic scenarios that may otherwise be overlooked.